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A magazine publishes restaurant ratings for various locations around the world.

ID: 3251972 • Letter: A

Question

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 perperson, 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. Use Excel and list the steps as you complete the parts below

Summated_Rating and Cost_($_per_person)

52           $38

66           $49

68           $60

67           $59

63           $43

59           $41

54           $44

64           $44

53           $32

49           $32

53           $42

52           $39

76           $89

63           $51

53           $37

50           $37

57           $34

44           $24

57           $40

58           $42

67           $64

62           $63

54           $25

73           $47

65           $46

Assuming a linear relationship, use the least-squares method to compute the regression coefficients

b0 and b1.

Interpret the meaning of the Y-intercept, b0, and the slope, b1.

Predict the mean cost per person for a restaurant with a summated rating of 40.

Explanation / Answer

The Regression Output

So linear equation

y = -39.70 + 1.43x

where y = cost per person

x = Cost ($ per person)

Here b0 = -39.70 and b1 = 1.43

The mean cost per person with summated rating of 40

y = -39.70 + 1.43 * 40 = $17.5

SUMMARY OUTPUT Regression Statistics Multiple R 0.813823 R Square 0.662307 Adjusted R Square 0.647625 Standard Error 8.28636 Observations 25 ANOVA df SS MS F Significance F Regression 1 3097.373 3097.373 45.10928 7.5E-07 Residual 23 1579.267 68.66377 Total 24 4676.64 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -39.6999 12.70172 -3.12555 0.004751 -65.9754 -13.4244 Summated Ratings 1.42968 0.212866 6.716344 7.5E-07 0.989334 1.870027
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