In: Statistics and Probability
Observation Network Month Day Rating Fact Stars 59 CBC 1 7 14 0 1 60 CBC 1 1 11.3 1 0 61 CBC 2 1 12.4 0 1 62 CBC 2 7 12.9 1 0 63 CBC 3 1 13.2 1 0 64 CBC 3 7 12.8 1 0 65 CBC 4 1 12.4 1 1 66 CBC 4 7 13.2 0 1 67 CBC 5 1 17.5 1 0 68 CBC 5 7 11.6 0 0 69 CBC 5 7 12.1 0 0 70 CBC 6 1 15.6 0 0 71 CBC 6 7 12.1 0 1 72 CBC 6 1 11.8 0 0 73 CBC 7 7 12.3 0 0 74 CBC 7 1 14.2 1 1 75 CBC 8 7 11.6 0 0 76 CBC 8 1 13.3 1 0 77 CBC 8 1 13.6 1 0 78 CBC 9 1 12.4 0 1 79 CBC 9 1 13.8 1 0 80 CBC 9 7 11.9 1 0 81 CBC 10 1 14.6 0 0 82 CBC 10 1 15.8 1 1 83 CBC 10 1 15.4 0 1 84 CBC 11 1 12.8 0 1 85 CBC 11 7 12.8 0 0 86 CBC 12 1 15.1 0 0 87 CBC 12 1 11.4 0 1 88 CBC 12 1 19.1 1 0 Run a multiple regression where the dependent variable is ratings and the independent variables are star and fact. Use data from CBC only. CBC Management has several questions: a. Which has more impact on a movie’s rating: Being fact-based or having one star? How much does each of these factors change the ratings? b. How well does this regression analysis explain the ratings? Justify your answers referring to the relevant figures. c. Are either, both, or neither of the independent variables significantly related to the ratings at 95% confidence? Justify your answers referring to the relevant figures.