A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, 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 ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below.
b. Assuming a linear relationship, use the least-squares method to compute the regression coefficients b0 and b1.
C. predict the mean cost per person for a restaurant with a summated rating of 50
Summated_Rating | Cost_($_per_person) |
51 | 37 |
67 | 50 |
69 | 60 |
66 | 58 |
63 | 45 |
59 | 39 |
54 | 42 |
62 | 44 |
50 | 35 |
51 | 33 |
52 | 43 |
50 | 39 |
74 | 86 |
63 | 54 |
53 | 35 |
51 | 33 |
54 | 31 |
48 | 23 |
58 | 41 |
56 | 44 |
66 | 62 |
66 | 62 |
53 | 26 |
73 | 46 |
66 | 46 |
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