Effect on Color in Psychology, Physiology and Behavior of Human

This study explores the impact of color on human psychology, physiology and behavior. It analyzes the association between color and aggression score, shopping behavior and performance score. Findings suggest that color has a significant effect on human behavior. The research is conducted through an experimental method with a sample of 25 participants. The data is analyzed using various statistical tests such as descriptive statistics, cross-tabulation, chi-square test, correlation, one-way ANOVA, one sample t-test, independent sample t-test and simple linear regression.

EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
Effect on Color in Psychology, Physiology and Behavior of Human
Name of the student:
Name of the university:
Course ID:

1EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
Table of Contents
1. Introduction:................................................................................................................................2
1.1. Back ground:.........................................................................................................................2
1.2. Research Aim and Objective:...............................................................................................2
1.3. Research Significance:..........................................................................................................2
2. Literature Review:.......................................................................................................................3
3. Methodology:...............................................................................................................................3
4. Data Analysis:..............................................................................................................................4
4.1.1. Frequency Statistics:..........................................................................................................5
4.1.2. Descriptive Statistics:.........................................................................................................7
4.2. Correlation Co-efficient:.......................................................................................................8
4.3. Cross-tabs:.............................................................................................................................9
4.4. Chi-square test:.....................................................................................................................9
4.5. One sample t-test:................................................................................................................10
4.6. Independent Sample T-test:................................................................................................11
4.7. One Way ANOVA:.............................................................................................................12
4.7.1. Mean Aggression Score with Color:................................................................................12
4.7.2. Mean Performance Score with Color:..............................................................................13
4.8. Regression Analysis:...........................................................................................................15
5. Conclusion:................................................................................................................................17
5.1. Findings:..............................................................................................................................17
5.2. Recommendations:..............................................................................................................18
5.3. Research Ethics:..................................................................................................................18
5.4. Future Research:.................................................................................................................18
References:....................................................................................................................................19

2EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
1. Introduction:
1.1. Back ground:
Color is a type of visual perception and subjective sense that grows from a capability of
person, through sensory organs and to perceive the spectrum of light projected and reflected by
any object. Color vision especially sight (out of five senses) is the first reactionary elements of
design. Color is an energy that consistently influences the phenomenon physiologically and
psychologically. Color evolved unique emotion and expression among experimental samples.
It is hypothesized that color has a measurable, predictable and significant effect on
accelerating or reducing physiological, physiological and behavior factors. The effect of color
also changes from male to female in tranquilizing aggression, shopping behavior and academic
performance. Color specialists highlighted the way of changing behavior in nature in many
previous journal articles. Mainly three colors are taken into consideration that are “Blue”,
“White” and “Red”. The blue color causes loyalty, tranquility and stability. White color brings
purity, cleanliness and innocence among people whereas red color causes passion, intense and
aggression within people.
The empirical analysis perceives the preferences and choices of the students in shopping
behavior. Not only that, it highlights the aggression score and theoretical performances of the
students living in the rooms of different colors. Color controls performance of brain and it results
performance score. It properly determines the anger control levels and ideas. The experimental
research is accomplished in a controlled environment for this study that might correlated the
room of the color with aggression score, shopping behavior and performance score.
1.2. Research Aim and Objective:
It is necessary to deduce the pre-set aims and objectives of a research for conducting the
research. The objective and systematic process assist to find the solution. Applied research aims
find a solution for an immediate issue of a society or human phenomena precisely (Kothari,
2004).
The research aims are-
 Do the colors have significant association with aggression score?
 Do the colors have significant association with shopping behavior?
 Do the colors have significant association with performance score?
This research objective is to find the inherent association between the psychological,
physiological and behavirol variables and phenomenon.
1.3. Research Significance:
The purpose of the study is to determine to differences in performance and aggression
scores between students. The focus of the study is to find the differences of human phenomena
due to colors of living rooms.

3EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
2. Literature Review:
The colors and its brightness have huge impact on the mood and mentality of the student
samples. Three different types of colors generate three different kinds of mentality in terms of
aggressiveness among the students. Red, white and blue colors are studied for their effects on
detail-orientation, creativity, stress as well as approach-oriented avoidance.
Aggression is a behavior which intentionally results physical or psychological harm to
another human being. Aggression could pose a threat to human adjustment and social safety
leading the severe acts putting potential victims at risk (Schauss, 1985). Color, no doubt, is
responsible for various phenomenon of the participants. Aggression behavior is poses a
functional mechanism underlying aggression and develops the potential interventions of
decreasing dysfunctional aggressive behavior present in brain (Schauss, 1979). High aggression
score can affect the decision-making process enhancing the proactive and reactive aggression
level (Valdez & Mehrabian, 1994).
The color has influence in consumer behavior. The psychology of color puts an impact on
visual appearance and persuasion of the products and commodities. The mind of the consumers
functions in weird ways on the subconscious level at the time of interpreting visual as well as
marketing ways that must keep with the “call-to-action” switch (Bellizzi & Hite, 1992). The
influence may be fascinating and sometimes very controversial with respect to marketing and
consumer behavior. The colors also have huge impact on the mood and cognitive behavior of the
people (Crowley, 1993). It therefore influences the psychological functioning of the students that
enhances or lowers the performance attainment. Relying up on the colors, the buyers choose the
brand that could evoke feelings of trust, urgency, security and relaxation (Belk, 1975). The
colors deeply impact customer perception and behavior.
Some studies reported that the variation in performance and ability test results are caused
due to effect of color. The performance measures that generally differs for man to man are word
fluency, grammar, calculation, logical reasoning, verbal reasoning, skills and knowledge (Stone
& English, 1998). There is inherent association between color, gender and intelligence test score
in terms of self-perceived performance. The color also influences the memory performance of
the students. Generally, colors stimulate the sensory organs and it enhance the human
phenomenon significantly. The color of the living room brings the direct and indirect effect on
the nature of the people. In the context of cognitive realms, the experts suggest that colors might
affect the academic performance because of the mood of transmission (Livingston, 1991). Colors
can influence the outweighed instructions to be accurate about creativity in a performance
(Ambady et al., 2001). Color is the first thing that human-brain experiences in any environment
putting deep subconscious influence on emotions connected with the state of enhanced decision-
making.
3. Methodology:

4EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The analysis is exploratory in nature. Exploratory research is conducted that results
clearer, intended and prior establishment of the study (Behrens & Yu, 2003). It also develops
operational definitions and enhance the final research design (Cox, 2017).
It is also an experimental research study that intend to make the cause and effect
statements typically using experimental research not necessarily conducted in an experimental
research (Quinn & Keough, 2002). Such types of experimental method determine the best
research design, data-collection process and selection of the theme of the project. The data of the
research is collected in the experimental method. The researcher conducted two tests on exam
performance and aggression outputs. The observed physiological, physiological and behavioral
measures are aggression score, shopping behavior and academic performance score. The sample
of 25 participants are considered in this regard.
The data analysis is simultaneously both quantitative and qualitative in nature (Bryman,
2006). Some of the variables like age, aggression score, stimulation level or performance score
are numerical in nature. On the other hand, some variables like sex, color and buying behavior
are categorical in nature. The data is collected in replicated way. Hence, the data set is not cross
sectional. The analysis simultaneously gender-wise finds the impact of color on aggression score,
shopping behavior and performance score. The colors chosen for the experiment are- red, white
and blue. The principle of choosing color is occurred in a conscious level as per suggested to the
researcher. The choice of color is carried out in the way of color of products, taking into account
the potential benefits and effectiveness. Experiments and testing of the control groups are
designed for supporting producers, managers, designers and advertisers.
The stimulating level is measured in the scale of 0 to 10. The aggression score is
measured is the scale 40 to 210. The performance score is measured in the scale 0 to 100.
Moreover, the color preference experiments are performed on similar subjects (replication). The
experiments are observed thoroughly and results are tabulated in the “Observational Method”
(Mann, 2003). It is a type of procedure that have strengths and weaknesses simultaneously of any
action or behavior of the participants involving in psychological research. The method involves
the “direct observation of phenomena” as per their natural setting. The data set are collected after
keeping 25 participants in the rooms of three different colors for more than 6 months. The
aggression scores, shopping behavior and performances are tabulated including more or less
equal level of stimulating level. The statistical analyses and tests carried out in this analysis are-
 Descriptive statistics
 Cross tabulation
 Chi-square test
 Correlation
 One-way ANOVA
 One sample or single sample t-test
 Independent sample t-test
 Simple Linear Regression
The data is analyzed with the help of SPSS-20 software. This statistical package easily
and properly executes tables and graphs.

5EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
4. Data Analysis:
Data analysis is the procedure of extracting information from the surveyed or collected
data. It is the combined process of inspecting, cleaning, transforming and modeling data with the
target of discovering necessary information, informing conclusions and supporting decision-
making (Var, 1998). Data analysis is the procedure of extracting information from the
experimental data that involved multiple steps involving the establishment of data set.
4.1.1. Frequency Statistics:
Out of 45 sampled people, 35.6% are females and 64.4% are males (Sgier, 2012).

6EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
People are kept in the rooms of three colours that are “Blue”, “White” and “Red”. 33.3%
people are kept distinctly in all the three coloured rooms.
Most of 40% people prefer to buy in fixed prices of the commodities, followed by 35.6%
people who prefer to buy commodities after negotiation. Only, 24.4% people are preferring to
buy commodities in auction.

7EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
4.1.2. Descriptive Statistics:
 The stimulation level has a range 7 (2 to 9). The average stimulating level of all the 45
persons is 5.93 with standard deviation 2.016.
 The mean of aggression score of two aggression measures refers that the aggression score
refers from 70 to 193. The mean aggression scores of 45 people is moderate (Mean =
136.133, SD = 37.89) (Bryman & Cramer, 1999). The aggression measured in the scale
of 70 to 210.
 The mean of performance score of two performance scores has average 71.4 with
standard deviation 10.79. The minimum and maximum mean performance score of the
people are 51.5 and 94.5 in the scale 0 to 100.
The distribution of stimulation level is not symmetric and negative skewed.

8EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The distributions of average aggregation score and average performance score are
symmetric.
4.2. Correlation Co-efficient:
The hypotheses are-
Null hypothesis (H0): Stimulation level and mean aggression score are not statistically correlated
to each other.
Alternative hypothesis (H0): Stimulation level and mean aggression score are statistically
correlated to each other.
The correlation coefficient table indicates that-
 Stimulation level is highly and positively correlated with mean aggression score (r =
0.874) (Sedgwick, 2012). Hence, the null hypothesis of statistically significant correlation
is rejected at 5% level of significance (0.05>0.0).

9EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
4.3. Cross-tabs:
The cross-tabulation refers that females are habituated to negotiate significantly (8)
(Landau, 2004). Males are habituated to buy products mainly in fixed price (14) followed by
negotiation (8). Both genders are least interested in action.
4.4. Chi-square test:
The chi-square test between two categorical variables “Colour” and “Shopping
Behaviour” refers that the chi-square statistic is 7.549 with 4 degrees of freedom. The significant
p-value of the chi-square statistic is found to be 0.11 which is greater than 0.05. Hence, the null
hypothesis is accepted at 5% level of significance. Therefore, these two categorical variables are
found to be independent to each other (Moore, 1976). There is no association between these two
variables.

10EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
4.5. One sample t-test:
The one sample t-test or single sample t-test sets the hypothesis-
Null Hypothesis (H0): The average performance score is 50.
Alternative Hypothesis (HA): The average performance is greater than 50.
The average performance score is found to be 71.4 with standard deviation 10.79. The
calculated t-statistic is 13.31 with degrees of freedom 44. The p-value of the t-statistic is found to
be 0.000. As per p-value (0.05>0.000), the null hypothesis could be rejected (De Winter, 2013).
Hence, the mean performance score is greater than 50.

11EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
4.6. Independent Sample T-test:
The independent sample t-test or single sample t-test sets the hypothesis-
Null Hypothesis (H0): The mean performance score of females is equal to the mean performance
score of the males.
Alternative Hypothesis (HA): The mean performance score of males is greater than the mean
performance score of the females.
The independent sample t-test is carried out between the variables “Sex” and “Mean
performance score”. The average of the mean performance score of females is 71.09 and males is
71.57. The independent sample t-test is carried out for equal and unequal variances. The t-values
are respectively (-0.14) with 43 degrees of freedom and (-0.138) with 30.13 degrees of freedom.
The significant p-values of the t-tests for equal and unequal variances are 0.889 and 0.891
respectively. The p-values are greater than 0.05. Hence, the null hypothesis of equality of
averages of mean performance score are rejected at 5% level of significance (Cohen, 1992).
Therefore, the averages of mean performance score with respect to gender are equal.

12EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
4.7. One Way ANOVA:
4.7.1. Mean Aggression Score with Color:
The One-way ANOVA is executed with the variables “Colour” and “Mean Aggression
Score”. The hypothesis of the ANOVA analysis is given as-
Null Hypothesis (H0): The mean aggression score is equal for the people dwelling in three
different coloured rooms (Heiberger & Neuwirth, 2009).
Alternative Hypothesis (HA): There exists at-least one inequality in case of mean aggression
score for the people dwelling in three different coloured rooms.
The mean aggression scores of the three different coloured rooms are 95.07 (blue), 138.4
(white) and 174.93 (red). The F-statistic is given by 66.157 with the significant p-value 0.0. The
p-value is less than 0.05. Hence, the null hypothesis is rejected at 5% level of significance (Ross
& Willson, 2017). Therefore, it could be concluded that the mean aggression scores are not equal
for every type of colour of the room.
Means Plot:

13EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The average of mean aggression score is greater for the people living in red coloured
room followed by white coloured room. The average of mean aggression score is least for the
people living in blue coloured room (Olive, 2017).
4.7.2. Mean Performance Score with Color:
The One-way ANOVA is executed with the variables “Colour” and “Mean Performance
Score”. The hypothesis of the ANOVA analysis is given as-
Null Hypothesis (H0): The mean performance score is equal for the people dwelling in three
different coloured rooms.
Alternative Hypothesis (HA): There exists at-least one inequality in case of mean performance
score for the people dwelling in three different coloured rooms.

14EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The mean performance scores of the three different coloured rooms are 64.53 (blue), 72.3
(white) and 77.3 (red). The F-statistic is given by 6.81 with the significant p-value 0.003. The p-
value is less than 0.05. Hence, the null hypothesis is rejected at 5% level of significance.
Therefore, it could be concluded that the mean performance scores are not equal for every type
of colour of the room (Christensen, 2002).
Means Plot:

15EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The average of mean performance score is greater for the people living in red coloured
room followed by white coloured room. The average of mean performance score is least for the
people living in blue coloured room.
4.8. Regression Analysis:
The hypotheses of the linear regression model are-
Null Hypothesis (H0): The stimulation level does not have linear and significant association with
mean aggression score (Weisberg, 2005).
Alternative Hypothesis (HA): The stimulation level has linear and significant association with
mean aggression score.
In the linear regression model, the dependent variable is mean aggression score and independent
variable is stimulation level.
The value of coefficient of determination (R2) of the linear regression is 0.874. That is,
stimulation level explains 87.4% variability of mean aggression score (Zou, Tuncali &
Silverman, 2003).

16EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The p-value of the F-statistic (139.266) of the linear regression model is 0.0. Hence, the model is
significant. That is stimulation level is linearly and significantly associated with mean aggression
score (Park, 2011).
The linear regression model is-
“Mean_Aggression_Score” = 38.641 + 16.431 * “Stimulation level”.
The stimulation level has positive association with mean aggression score (beta>0) (Neter et al.,
1996).
Charts:
The fitted histogram plot refers that residuals are normally distributed.

17EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
The normal probability plot refers that residuals are normally distributed.
Conclusion:
Stimulation level has linear significant association with mean aggression score.
5. Conclusion:
5.1. Findings:
The research findings draw the extract of the research and also create the conclusive parts
(Marsh, 1987). The study demonstrates the non-invasive brain stimulation level that can
significantly vary aggression and dissociate between physiological and behavioural aspects with
respect to cortical brain states. The context of the experimental research is responsible for
cognitive processes of experiment. The research study shows that colour is the reason that brings
variation in aggression score and the performance score. However, colour is not the cause of
varying shopping habit. In line with our hypothesis, the aggressive behaviour in comparison with
stimulation has significantly indicated the association.
The results have shown the significant variabilities in psychological (aggression) and
physiological (performance) aspects. However, the variabilities in behavioural (shopping
behaviour) aspects are not observed. Outcomes did not gift the students the variabilities in all the
three aspects in characteristics due to colour. Scoring of two replicated tests for aggression and
performance gets evaluated differently for three different colours that are red, blue and white.
Colours might be utilised to initiate high interest and promote learning in pen and paper.

18EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
In brief, the case study has shown that colours may influence emotional states and its
transformation in aggression as well as academic performances. The researcher evaluated
affective states of various phenomena resulted by colours.
5.2. Recommendations:
Research recommendation assists the reader and follower to take proper measures and
way outs (Ward et al., 2005). As the colour varies, the experiment showed that red is the most
aggression creator. Blue keeps aggression in control mostly. On the other hand, red colour helps
to enhance performance score. Blue colour decreases the performance score. Therefore, to keep
balance in aggression and performance, white colour in rooms is preferable from each end. The
males should be more cautious at the time of shopping behaviour.
5.3. Research Ethics:
The research ethics maintains the authenticity of the analysis and case-study (Diener &
Crandall, 1978). The research ethics is fully maintained in this analysis. The data is collected
with the help of a bias-less experiment. The data and its outcomes are interpreted properly.
5.4. Future Research:
Future research recommends the possible aspects and characteristics that are to be added
to the current research or eliminate from the current research (Parasuraman, Zeithaml & Berry,
1985). To increase the number of variables and participants would be the primary aim of the
future research. It would show a plausible subsequent relationship in an effective way to
optimize the user experience.

19EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
References:
Ambady, N., Shih, M., Kim, A., & Pittinsky, T. L. (2001). Stereotype susceptibility in children:
Effects of identity activation on quantitative performance. Psychological science, 12(5),
385-390.
Behrens, J. T., & Yu, C. H. (2003). Exploratory data analysis. Handbook of psychology.
Belk, R. W. (1975). Situational variables and consumer behavior. Journal of Consumer
research, 2(3), 157-164.
Bellizzi, J. A., & Hite, R. E. (1992). Environmental color, consumer feelings, and purchase
likelihood. Psychology & marketing, 9(5), 347-363.
Bryman, A. (2006). Integrating quantitative and qualitative research: how is it done?. Qualitative
research, 6(1), 97-113.
Bryman, A., & Cramer, D. (1999). Quantitative data analysis with SPSS release 8 for
Windows. A guide for social scientists. London and New York: Taylor & Francis Group.
Christensen, R. (2002). One-way ANOVA. In Plane Answers to Complex Questions (pp. 91-
105). Springer, New York, NY.
Cohen, J. (1992). A power primer. Psychological bulletin, 112(1), 155.
Cox, V. (2017). Exploratory data analysis. In Translating Statistics to Make Decisions (pp. 47-
74). Apress, Berkeley, CA.
Crowley, A. E. (1993). The two-dimensional impact of color on shopping. Marketing
letters, 4(1), 59-69.
De Winter, J. C. (2013). Using the Student's t-test with extremely small sample sizes. Practical
Assessment, Research & Evaluation, 18(10).
Diener, E., & Crandall, R. (1978). Ethics in social and behavioral research. U Chicago Press.
Heiberger, R. M., & Neuwirth, E. (2009). One-way anova. In R through excel (pp. 165-191).
Springer, New York, NY.
Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
Landau, S. (2004). A handbook of statistical analyses using SPSS. CRC.
Livingston, L. A. (1991). The effect of color on performance in an instructional gaming
environment. Journal of research on computing in education, 24(2), 246-253.

20EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
Mann, C. J. (2003). Observational research methods. Research design II: cohort, cross sectional,
and case-control studies. Emergency medicine journal, 20(1), 54-60.
Marsh, H. W. (1987). Students' evaluations of university teaching: Research findings,
methodological issues, and directions for future research. International journal of
educational research, 11(3), 253-388.
Moore, D. S. (1976). Chi-Square Tests (No. Mimeograph). PURDUE UNIV LAFAYETTE IND
DEPT OF STATISTICS.
Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied linear statistical
models (Vol. 4, p. 318). Chicago: Irwin.
Olive, D. J. (2017). One Way Anova. In Linear Regression(pp. 175-211). Springer, Cham.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality
and its implications for future research. the Journal of Marketing, 41-50.
Park, S. H. (2011). Simple linear regression. In International Encyclopedia of Statistical
Science (pp. 1327-1328). Springer Berlin Heidelberg.
Quinn, G. P., & Keough, M. J. (2002). Experimental design and data analysis for biologists.
Cambridge University Press.
Ross, A., & Willson, V. L. (2017). One-Way Anova. In Basic and Advanced Statistical
Tests (pp. 21-24). SensePublishers, Rotterdam.
Schauss, A. G. (1979). Tranquilizing effect of color reduces aggressive behavior and potential
violence. Journal of Orthomolecular Psychiatry, 8(4), 218-221.
Schauss, A. G. (1985). The physiological effect of color on the suppression of human aggression:
Research on Baker-Miller pink. International Journal of Biosocial Research, 2(7), 55-64.
Sedgwick, P. (2012). Pearson's correlation coefficient. BMJ: British Medical Journal
(Online), 345.
Sgier, L. (2012). Qualitative data analysis. An Initiat. Gebert Ruf Stift, 19-21.
Stone, N. J., & English, A. J. (1998). Task type, posters, and workspace color on mood,
satisfaction, and performance. Journal of Environmental Psychology, 18(2), 175-185.
Valdez, P., & Mehrabian, A. (1994). Effects of color on emotions. Journal of experimental
psychology: General, 123(4), 394.
Var, I. (1998). Multivariate data analysis. vectors, 8(2), 125-136.
Ward, D. S., Evenson, K. R., Vaughn, A., Rodgers, A. B., & Troiano, R. P. (2005).
Accelerometer use in physical activity: best practices and research
recommendations. Medicine and science in sports and exercise, 37(11 Suppl), S582-8.

21EFFECT ON COLOR IN PSYCHOLOGY, PHYSIOLOGY AND BEHAVIOR OF HUMAN
Weisberg, S. (2005). Simple linear regression. Applied Linear Regression, Third Edition, 19-46.
Zou, K. H., Tuncali, K., & Silverman, S. G. (2003). Correlation and simple linear
regression. Radiology, 227(3), 617-628.