Binary logistic regression using Minitab
The data set 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.[unique_solution]
Binary logistic regression using Minitab
The data set 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.