Use Minitab, R, or your preferred software for this question, but calculate the 90% confidence interval for the coefficient for cable by hand (but use the SE from the software output) and do the test whether age and number of TVs should be dropped by hand (use ANVOA table to get p-value and confirm with software). The data in the table below contains observations on age, sex (male = 0, female = 1), number of television sets in the household, cable (no = 0, yes = 1), and number of hours of television watched per week. Using hours of television watched per week as the response, you can use Minitabs Regress or Rs lm() command [e.g., model? Im(hoursNage+sex+num.tv+cable)] to fit a least squares regression model to all the other given variables. 22,22,50,43,54,24,15,23,34,18,58,19,26,15,21,30,37,44,29,27,30,17,15,21,47,26,13,39,22,20,14,47,21,38,23,32,19,15,21,18 e. Sex Num TV: Cable: 1,0,1,1,1,0,1,0,1,0,1,0,0,0,0,0,1,1,1,0,0,1,1,1,1,0,0,0,1,0,0,1,0,1,0,0,1,0,0,1 Hours TV 28,16,18,20,25,14,21,7,12,14,15,12,10,11,12,18,17,20,21,15,17,18,13,21,23,11,10,21,13,12,10,19,12,21,8,16,13,9,11,21 What is the estimated value of the regression coefficient for age? 0.1000 [2 pt(s)] You are correct. Your receipt no. is 155-9867 What is the estimated value of the regression coefficient for cable? 4.1980 [2 pt(s)] You are correct. Your receipt no. is 155-3316 According to the regression equation, which of the following statements is true? Incorrect From the data given, one can not tell which gender watches more television per week Correct: Males watch television 3.577 hours more per week than females. Incorrect Females watch television 3.577 hours more per week than males Incorrect Females watch television approximately the same number of hours per week as males [2 pt(s)] You are correct. Your receipt no. is 155-3842 What is the value of the test-statistic for the overall regression significance test? 12.6200 [3 pt(s)] You are correct. Your receipt no. is 155-1334
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