Data Presentation: Correlation, Regression, and Time Series Analysis

Data Presentation

Table of Contents
INTRODUCTION ..........................................................................................................................3
MAIN BODY...................................................................................................................................3
3. Elaborate the correlation and regression and how they can be utilised with examples..........3
4. Explain time series and it uses with the help of example.......................................................4
CONCLUSION ...............................................................................................................................4
REFERENCES................................................................................................................................6

INTRODUCTION
Data presentation is a way that how the various data sets are represented into the
numerous graphical formats and on the basis of that the decisions are made (Becker, 2020). In
this report, the correlation and regression analysis is elaborated and its uses are explained with
the help of example. Further, the times is described with its utilisation.
MAIN BODY
3. Elaborate the correlation and regression and how they can be utilised with examples.
Correlation is a an analysis that is applied for measuring the state between two
continuous variables. For instance, between two independent or dependent variable or among
two independent variables. It calculated the level of change in one factor due to another variable.
A high and low correlation signifies the strong and weak relationship between two variables and
a zero correlation depicts that no relationship exists between the factors.
The correlation is used when the is no response variable that can be identified. It gives
the the qualitative strength of the linearity between the two factors.
For Example, the relationship between height and weight can be determined by the
following example -
Students A B C
Heights 72 69 66
Weight 170 135 150
Regression analysis is a similar technique of correlation to determine the relationship
between the outcome and at least one variables. The result factor is the dependent or response
variable and the risk factor is the independent variable. It can be used to by providing the
equation so that the prediction can be made about the data information (Hu and et. al., 2020).
For example, the connection between the sales call and the number of copies sold by each
representative -
Sales representative Number of sales call Number of copies sold
A 20 30