Question

The scores received in four exams in a math class are collected for 50 students. The following Python code is used to fit a simple linear regression model using data from the ExamScores.csv file. Which of the two variables, “Exam4” or “Exam2”, is the response variable? Which is the predictor variable? Select one.

import pandas as pd
import statsmodels.formula.api as smf
scores = pd.read_csv('http://data-analytics.zybooks.com/ExamScores.csv')
model = smf.ols('Exam4 ~ Exam2', scores).fit()

Question options:

	Exam2 and Exam4 are both predictor variables.
	Exam4 is the response variable and Exam2 is the predictor variable.
	Exam2 and Exam4 are both response variables.
	Exam2 is the response variable and Exam4 is the predictor variable.

Answer 1

Ans B) Exam4 is the response variable and Exam2 is the predictor variable.

Explanation: from the statement

model = smf.ols('Exam4 ~ Exam2', scores).fit()

we know Exam4 is response variable since it depends on Exam2 which is predictor variable.

In statistics, a response variable, also known as a dependent variable or quantity that someone wants to measure. It depends on an independent variable(Predictor Variable).