CMGT 507 Information Management
Week 8
Instructions for Individual Assignment 2
Before running the analysis, weight data by running the following syntax:
weight by fweight.
Problem 1.
How do the following variables impact consumers’ monthly spending on online purchases (Q770, in dollars): Internet experience (Q210, in months), number of companies/brands followed on Twitter (Q820), age (Age), and number of adults living in the household (Adult)?
Run the analysis, and complete the following tasks: 1) cite the R Square value and interpret it in the context of the problem (i.e., how much variation in the dependent variable is explained by the model); 2) cite the p-value in the ANOVA table and determine whether there is a significant linear relationship for the model; 3) pick ONE independent variable with a significant p-value and explain the significant finding in the context of the problem; and 4) pick ONE independent variable that has a significant impact on the dependent variable, and discuss its marketing implications.
Problem 2.
How do the following variables predict the likelihood of Internet users friending brands on social media (Friending): Internet experience (Q210, in months), monthly spending on online purchases (Q770, in dollars), age (Age), and gender (Gender)?
Run the analysis, and complete the following tasks: 1) determine whether the model is statistically significant or not; 2) cite Exp(B) and p-value of ONE independent variable that is an significant predictor, and explain the significant finding in the context of the problem; and 3) pick ONE independent variable that has a significant impact on the dependent variable, and discuss its marketing implications.
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