There is a correlation between gender and the use of

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There is a correlation between gender and the use of classes
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[Q4] Conduct an “Independent Samples T Test for Means” to examine if the mean numbers of visits are different between male and female (i.e., run an “Independent-Samples T Test for Means” with “number of visits [visits]” as a Test Variable and “Gender [gender]” as a Grouping Variable). (Q4-1) Attach the SPSS output of the T-Test.
(Q4-2) What is the mean number of visits for the male AFC members in the sample? 9.19 visits (Q4-3) What is the mean number of visits for the female AFC members in the sample?
[Q5] Conduct a “Multiple Regression” analysis to examine what are the important factors that determine the total revenue. More specifically, consider the following equation: [Revenue] = b0 4
+ b1 * [Age] + b2 * [Importance: General Health and Fitness] + b3 * [Importance: Social Aspects] + b4 * [Importance: Physical Enjoyment] + b5 * [Importance: Specific Medical Concerns] + b6 * [number of visits] + b7 * [Gender] (Q5-1) Attach the SPSS output of the linear regression analysis. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .454 a .206 .169 152.52081 a. Predictors: (Constant), Gender, number of visits, Age in Years, Importance: General Health and Fitness, Importance: Social Aspects, Importance: Specific Medical Concerns, Importance: Physical Enjoyment ANOVA a Model Sum of Squares df Mean Square F Sig.