103.In the regression model, which of the following are dummy variables? A. InterceptB. ServiceC. Service and genderD.Gender and jobE. Service, gender, and jobAACSB: Communication AbilitiesBLOOM: ComprehensionDifficulty: EasyGoal: 8Lind - Chapter 14 #103104.The results for the variable gender show that AACSB: Reflective Thinking SkillsBLOOM: AnalysisDifficulty: MediumGoal: 8Lind - Chapter 14 #104105.Based on the hypothesis tests for individual regression coefficients, AACSB: Reflective Thinking SkillsBLOOM: AnalysisDifficulty: MediumGoal: 9Lind - Chapter 14 #105It has been hypothesized that overall academic success for college freshmen as measured by grade point average (GPA) is a function of IQ scores (X1), hours spent studying each week (X2), and one's high school average (X3). Suppose the regression equation is:The multiple standard error is 6.313 and R2= 0.826.Lind - Chapter 14106.What is the predicted GPA for a student with an IQ of 108, 32 hours spent studying per week and a high school average of 82? _____ 3.249AACSB: Analytic SkillsBLOOM: AnalysisDifficulty: MediumGoal: 10Lind - Chapter 14 #106

107.What is the predicted GPA if the IQ is 108, the number of hours spent studying is 30, and the high school average is 82? ______ 3.029AACSB: Analytic SkillsBLOOM: AnalysisDifficulty: MediumGoal: 10Lind - Chapter 14 #107108.Assuming other independent variables are held constant, what effect on the GPA will there be if the numbers of hours spent studying per week increases from 32 to 36? ________ AACSB: Reflective Thinking SkillsBLOOM: AnalysisDifficulty: HardGoal: 10Lind - Chapter 14 #108109.How many independent variables are in the regression equation? ___ fourAACSB: Reflective Thinking SkillsBLOOM: AnalysisDifficulty: HardGoal: 10Lind - Chapter 14 #109110.How will a student's GPA be affected if the student's high school average was 80 and an additional hour is spent studying each weeknight? ________ increases by 0.551AACSB: Analytic SkillsBLOOM: AnalysisDifficulty: HardGoal: 10Lind - Chapter 14 #110111.What are the five assumptions of linear multiple regression?