A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, modifying above with accentcor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated rating variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below.
Summated_Rating | Cost_($_per_person) |
53 | 41 |
66 | 51 |
66 | 62 |
69 | 57 |
66 | 41 |
58 | 42 |
56 | 44 |
61 | 42 |
54 | 31 |
51 | 34 |
52 | 42 |
53 | 37 |
77 | 84 |
63 | 53 |
56 | 36 |
48 | 36 |
54 | 30 |
46 | 23 |
54 | 43 |
57 | 46 |
66 | 65 |
66 | 63 |
55 | 26 |
75 | 47 |
69 | 47 |
B. Assuming a linear relationship, use the least-squares method to compute the regression coefficients.
b0=
b1=
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