# (Solved): WPC 300 : Assignment 7: Logistic Regression |SchoolAdmission.jmp|2021 ...

**Assignment 7: Logistic Regression**

**Quiz Instructions**

- Read the Assignment Instructions.

- Start with datafile: SchoolAdmission.jmp
- Change the file name to: YourFirstName_YourLastName_Assignment7.jmp
- You must use JMP to answer the following multiple-choice questions.
**Note: When you are asked to submit a screen capture, you need to make sure that your name is part of the capture.**

**Question 1 ****2.5 pts**

Since we are interested in understanding ADMITTED students, change the **Value Order **in "Column Properties" of the "ADMIT" column so that **1 **(admitted) appears first in graphics and analyses. Show the screenshot to provide the evidence of this step.

**Question 2 ****2.5 pts**

Execute a contingency analysis to find out the relationship between ‘Admit’ and “Rank’ of the students. Which of the following statements is correct based on your analysis?

Group of answer choices

- 76.9% of Rank-2 students didn’t get admitted
- 45.9% of Rank-1 students didn’t get admitted.
- 35.8% of Rank-4 students didn’t get admitted.
- 17.9% of Rank-3 students got admitted

**Question 3 ****2.5 pts**

Execute a simple logistic regression analysis to test if ‘Admit’ is significantly related to ‘GPA’. Based on your analysis, which of the following statements is correct? [save the script to the datafile]

Group of answer choices

- ’Admit’ is significantly related to the independent variable ‘GPA’ because the p-value is less than 0.05
- ‘Admit’ is not related with ‘survived’ because one of them is categorical variable
- ‘Admit’ is not related to the dependent variable ‘GPA’ because the p-value is more than 0.05
- As ‘GPA’ increases, ‘Admit’ decreases.

**Question 4 ****2.5 pts**

Share an appropriate screenshot to support your answer in Question 3. Make sure you use different colors and different markers for students who got admitted and who didn’t.

**Question 5 ****2.5 pts**

Develop a simple logistic regression analysis to test if ‘Admit’ is significantly related to ‘GRE’. Based on your analysis, which of the following statements is correct?

Group of answer choices

- GRE is significantly related to the dependent variable ‘Admitted’
- GRE is not related to the dependent variable ‘Admit’
- As GRE increases, the Admit decreases.
- GRE is related to ‘Admit’ but is it not significant

**Question 6 ****2.5 pts**

Share a screenshot of the Logistic Fit Plot to support your answer in Q5. Make sure you use different colors and different markers for students who got admitted and who didn’t.

**Question 7 ****2.5 pts**

Use Analyze-> Fit Model to perform a 'stepwise' fit for “ADMIT” using all relevant predictors in the data. Use Minimum BIC (as stopping rule), Forward (as direction), and Whole Effects (as Rules) in the model. Run the logistic regression model using the selected variables in the previous step. Which of the following variables is/are significant in the model to predict when students get admitted? [save the script to the data file]

Group of answer choices

- GPA
- None of the variables are significant
- GRE
- Both GRE and GPA

**Question 8 ****2.5 pts**

Submit the parameter estimate table from the above model in Question 7.

Upload

**Question 9 ****2.5 pts**

Submit the final equation of the model (the resulting logit of the probability model, saved as Lin[1] in the data table). [save script to the data file]

Upload

**Question 10 ****2.5 pts**

Submit the JMP data file with saved script for all the analysis to answer questions from this assignment.