Testing to find Relationship Among many Variables.

Both multiple regression and logistic regression testing are used to evaluate the relative predictive contribution of each of several independent variables on a dependent variable. When the researcher, using common sense and evidence from the literature, selects a narrow set of independent variables that she or he believes are important or useful in predicting an outcome (dependent variable), it is said that a predictive model is being created to explain the phenomena being studied.
Preparation
You are encouraged to review the multiple and logistic regression materials from previous units. Then, review How to Choose a Statistical Test and the test-selection tutorials linked in the Resources to determine which test is most likely to be appropriate for your data type.
Instructions
Using SPSS and the Framingham study data set, perform and interpret statistical tests that answer the fo

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