Multiple Linear Regression Research 2022

Running head: MULTIPLE LINEAR REGRESSION 1
Multiple Linear Regression
Do Age And Gender Affect Students’ Performance?
Student’s Name
Institution

MULTIPLE LINEAR REGRESSION 2
Introduction
The goal of every student is to perform exemplarily at the end of year exams. However,
not every student performs to his or her expectations for one or another reason.
Underperformance could be as a result of either internal or external reasons. Factors affecting
students’ performance in academics in college is a subject of interest to man scholars and
researchers. Previous researches have attempted to identify loopholes in the current U.S
education system proposing possible recommendations to improve the system. The reason
behind identifying loophole in the education system is to recommend suitable corrective
measures to improve the system.
Different research studies show reveal that gender and age of a student significantly
affect students’ academic performance. Female students perform better in college examinations
compared to their male counterparts (Perkins, Kleiner, Roey & Brown, 2014). Excellent
performance of female students is attributed to high commitment in college studies. Gallagher &
Kaufman (2015) conducted a similar survey to compare the performance of males and female
students in science-related subjects. The study reveals that male students perform much better in
technical subjects as compared to female students. Datu & Yang (2019) conducted a similar
study conducted to find out the relationship between age and academic performance of a student.
The study revealed that younger students performed better than older students. The question of
age and gender effect on academic performance is the subject of interest and requires further
serious attention; therefore, this study aim at establishing the relationship between age, gender,
and academic performance.

MULTIPLE LINEAR REGRESSION 3
Hypothesis statement
Null hypothesis: the age and gender of a student significantly affects students’ academic
performance
Alternative hypothesis: age and gender have no significant effect on students’ academic
performance.
Methodology
Data
The research study utilized first-hand data collected from 31 students taking a statistics
course. A total of 31 students entering the lecture hall were randomly sampled. Therefore, a
convenient sampling method was utilized to sample study participants. A study questionnaire
was developed to collect data, and the study participants invited to participate. Before
participation, the study participants were briefed the objective of the study, then later signing an
informed consent letter.
Moreover, the study participants were assured of their confidentiality before filling in the
questionnaire. They participants) were required to record their age, gender, and previous
semester overall grade. Since the collected data was quantitative and qualitative, the coding was
appropriately done to convert the qualitative data to quantitative data. For the grades, “A” was
assigned a value of “5”, B assigned “4”, grade “C” assigned a value of “3”, grade D assigned a
value of “2”, and the F assigned to a value of “1”. Also, the male was assigned a value of “1” and
female gender assigned a value of “0”.
Analysis
To determine the relationship between age, gender, and academic performance of a
student, multiple linear regression is developed using Microsoft excel. The academic grade