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() ~ 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. Exam2 and Exam4 are both predictor variables.
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() ~ 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. Exam2 and Exam4 are both predictor variables.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text: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.
```python
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()
```
- ( ) 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.
- ( ) Exam2 and Exam4 are both predictor variables.
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