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WK3 Project Assignment Download Admissions.xlsx data set here . It shows graduate program admission decisions (Yes: 1 and No: 2), GRE score and undergraduate GPA (1: ≥ 3.5 and 2:

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WK3 Project Assignment
Download Admissions.xlsx data set here . It shows graduate program admission decisions (Yes: 1 and No: 2), GRE score and undergraduate GPA (1: ≥ 3.5 and 2: < 3.5) for fifty students.
Tasks:
Fit a binary logistic regression model with admission decision as the dependent variable, GRE and GPA as the independent variables.
· Evaluate the goodness of fit of the model.
· Determine the significance of independent variables.
· Interpret odds ratios for independent variables.
· State the binary logistic regression equation.
· Evaluate the classification accuracy of the model.
· Check if the residuals are independent.
Submission Details:
· Submit a 3–4 page Microsoft Word document, using APA style.
· The relevant Minitab output should be copied to this document.
WK3 Project
Assignment

Download
Admissions.xlsx

data set
here
. It shows graduate program admission decisions (Yes:
1 and No: 2), GR
E score and undergraduate GPA (1:
=
3.5 and 2: < 3.5) for fifty students.

Tasks:

Fit a binary logistic regression model with admission decision as the dependent variable, GRE
and GPA as the independent variables.

·

Evaluat
e the goodness of fit of the model.

·

Determine the significance of independent variables.

·

Interpret odds ratios for independent variables.

·

State the binary logistic regression equation.

·

Evaluate the classification accuracy of the model.

·

Check if the residua
ls are independent.

Submission Details:

·

Submit a 3

4 page Microsoft Word document, using APA style.

·

The relevant Minitab output should be copied to this document.
WK3 Project Assignment
Download Admissions.xlsx data set here . It shows graduate program admission decisions (Yes:
1 and No: 2), GRE score and undergraduate GPA (1: = 3.5 and 2: < 3.5) for fifty students.
Tasks:
Fit a binary logistic regression model with admission decision as the dependent variable, GRE
and GPA as the independent variables.
 Evaluate the goodness of fit of the model.
 Determine the significance of independent variables.
 Interpret odds ratios for independent variables.
 State the binary logistic regression equation.
 Evaluate the classification accuracy of the model.
 Check if the residuals are independent.
Submission Details:
 Submit a 3–4 page Microsoft Word document, using APA style.
 The relevant Minitab output should be copied to this document.
Answered Same Day Aug 02, 2021

Solution

Suraj answered on Aug 02 2021
128 Votes
Logistic Model fitting by using MINITAB
1. Goodness of fit of the model:- As a linear model, the goodness of fit for the logistic regression tells how well a model fits the data. For the given data, the Minitab goodness of fit output is given as follows:
Here in all the tests the p-value is greater than the 0.05. So, we accept the null hypotheses and the goodness of fit is not significant.
2. Significance of independence variables: for the test of the significance of the independent variables, we use the t-test to check whether a particular...
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