(Q7) [Regression] Let's Conduct a regression analysis to understand what explains the differences in One-year Revenue...
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(Q7) [Regression] Let's Conduct a regression analysis to understand what explains the differences in "One-year Revenue ($) [revenue]" among different members. Potential predictors that we are considering are "Age in Years [age]", "number of visits [visits]", "Gender [gender]", and "Work Status [status]". (7-a) Attach the SPSS output of the regression analysis. (When you run SPSS on a virtual desktop, you might not be able to copy an SPSS output and paste it to an MS Word doc in your local computer. An easy solution is to take a screenshot.) (7-b) What percentage of the total variation of [Revenue] is explained by the estimated regression equation? (7-c) With alpha=0.10, which of the independent variables have a significant impact on the dependent variable(=revenue)? (i.e., list all of the independent variables that have a significant impact on the dependent variable) (7-d) Given the estimated regression equation, what is the predicted revenue from an AFC member with the following profile: - [Age]: 65 years old - [Number of Visits]: 12 times per month - [Gender]: Female (1-Male / 2-Female) - [Work Status]: Retired (1-Employed/2=Retired) (Q7) [Regression] Let's Conduct a regression analysis to understand what explains the differences in "One-year Revenue ($) [revenue]" among different members. Potential predictors that we are considering are "Age in Years [age]", "number of visits [visits]", "Gender [gender]", and "Work Status [status]". (7-a) Attach the SPSS output of the regression analysis. (When you run SPSS on a virtual desktop, you might not be able to copy an SPSS output and paste it to an MS Word doc in your local computer. An easy solution is to take a screenshot.) (7-b) What percentage of the total variation of [Revenue] is explained by the estimated regression equation? (7-c) With alpha=0.10, which of the independent variables have a significant impact on the dependent variable(=revenue)? (i.e., list all of the independent variables that have a significant impact on the dependent variable) (7-d) Given the estimated regression equation, what is the predicted revenue from an AFC member with the following profile: - [Age]: 65 years old - [Number of Visits]: 12 times per month - [Gender]: Female (1-Male / 2-Female) - [Work Status]: Retired (1-Employed/2=Retired)
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7a Please refer to the attached SPSS output 7b The percentage of the total variation of Revenue expl... View the full answer
Related Book For
Financial Accounting Tools for business decision making
ISBN: 978-0470534779
6th Edition
Authors: Paul D. Kimmel, Jerry J. Weygandt, Donald E. Kieso
Posted Date:
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