Test the assumption of collinearity

Reference no: EM13225627

Logistic Regression
A researcher is analyzing a dataset to determine whether the independent variables predict students' reading level. The dependent variable is reading level (1=good reader, 0=poor reader). The four independent variables are age, SES (1=upper, 2=middle, 3=lower), teaching approach (1=computer, 2=traditional), and amount of reading (scaled data from 1-10).

*Please refer to SPSS Commands and the Logistic Regression Example.
Your task:
1.Test the assumption of collinearity.
2.Analyze the data using logistic regression analysis. Your analysis should include discussion and interpretation of the following: comparison of crude vs. adjusted odds ratios (and corresponding 95% CI), log likelihood, R Square, Wald test and p-values, logistic regression equation, goodness-of-fit tests, and predictive accuracy of the model. Include summary tables.

Required minimum-1 page

Reference no: EM13225627

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