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Math · Statistics And Probability
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Question 4 Use the multistep process to interpret the regression result below. This model has been run by a researcher trying to explain user pleasure of browsing Facebook. The independent variables are user perceptions of Perceived Usefulness, Complementary Convenience and Entertainment Model Summa Adjusted Std. Error Change Statistics Model R Square Square Estimate Square of the Change Change Change dfd2 Sig. F 097 009 000 540 291 278 675 456 40 3 317 392 41.6653 314 000 31.2383 311 000 66620 56611282 a. Predictors: (Constant), Level of Education, Gender, Age b. Predictors: (Constant), Level of Education, Gender, Age, Convenience, Perceived Usefulness, 2 c. Predictors: (Constant), Level of Education, Gender, Age, Convenience, Perceived Usefulness, Variable: Pleasure Model Correlations Statistics Part Tolerance VIF 19.580000 3.524 047 887 376 060 068 7 1.002 317 1413159060 4.552 000 428 248214 772 1.295 4.258 000 407 455 650 038 465 066 041 1.055 1392 041 2.418 016 428 138 097 2 1.338 .8780407 4.698000 513 Variable: Pleasure of Browsin Based on the results of the Model Summary and Coefficient, i) Are there any multicollinearity problems? Explain your answer quoting any relevant (5 marks) i) What is the role of Gender and Age on the relationship between the independent statistics. variables and dependent variable? Explain your answer quoting any relevant (7 marks) iii) At the 5% significance level, does the results appear that any of the predictor statistics variables can be removed from the full model as unnecessary Explain your answer (8 marks) v) What substantive conclusions would you recommend to increase the pleasure of (10 marks) quoting any relevant statistics browsing the Facebook by Facebook user?

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