LOGISTIC REGRESSION 2

Overview

In this assignment, you will use a logistic regression analysis to see if GPA, year, and score on Quiz 1 predict whether a student will pass or fail the course. Use the .sav file provided. Please copy and paste all necessary output for the tests of the assumptions and the logistic regression.

Instructions
Complete the following:

· Step 1. Provide a context for the data set in the supplied .sav file. Identify your predictor variables, the outcome variable, and the scales of measurement for each variable. Specify the sample size of the data set.

· Step 2. Specify a research question for the overall logistic regression model. Articulate a null hypothesis and alternative hypothesis for the overall regression model. Specify a research question for each predictor. Articulate the null hypothesis and alternative hypothesis for each predictor. Specify the alpha level.

· Step 3. Discuss and test the assumptions of logistic regression. Specifically, use SPSS to determine if there is a linear relationship between any continuous independent variables and the logit transformation of the dependent variable. Present the output and interpret the results.

· Step 4.

. Begin with a brief statement reviewing assumptions.

. Next, paste the SPSS output for the frequencies of each predictor variable with respect to the outcome variable.

. Paste the results of the Model Summary. Report R and R2 in correct APA format; interpret R2 effect size.

. Next, paste the SPSS results in the classification table and discuss those results.

. Present and interpret the results in the “variables in the equation” output table.

. Present and interpret the results of the chi-square goodness-of-fit test for the logistic regression, along with any other output tables important for the interpretation of the results.

· Step 5. Discuss your conclusions of the logistic regression as they relate to your stated research questions for the overall regression model and the individual predictors. Conclude with an analysis of the strengths and limitations of multiple regression. Please report all statistics using current APA format.

Our Service Charter

1. Professional & Expert Writers: Homework Free only hires the best. Our writers are specially selected and recruited, after which they undergo further training to perfect their skills for specialization purposes. Moreover, our writers are holders of masters and Ph.D. degrees. They have impressive academic records, besides being native English speakers.

2. Top Quality Papers: Our customers are always guaranteed of papers that exceed their expectations. All our writers have +5 years of experience. This implies that all papers are written by individuals who are experts in their fields. In addition, the quality team reviews all the papers before sending them to the customers.

3. Plagiarism-Free Papers: All papers provided by Homework Free are written from scratch. Appropriate referencing and citation of key information are followed. Plagiarism checkers are used by the Quality assurance team and our editors just to double-check that there are no instances of plagiarism.

4. Timely Delivery: Time wasted is equivalent to a failed dedication and commitment. Homework Free is known for timely delivery of any pending customer orders. Customers are well informed of the progress of their papers to ensure they keep track of what the writer is providing before the final draft is sent for grading.

5. Affordable Prices: Our prices are fairly structured to fit in all groups. Any customer willing to place their assignments with us can do so at very affordable prices. In addition, our customers enjoy regular discounts and bonuses.

6. 24/7 Customer Support: At Homework Free, we have put in place a team of experts who answer to all customer inquiries promptly. The best part is the ever-availability of the team. Customers can make inquiries anytime.