Question

In: Statistics and Probability

Consider the following data sample from the Consumer Reports Restaurant Satisfaction Survey where variable Type indicates...

Consider the following data sample from the Consumer Reports Restaurant Satisfaction Survey where variable Type indicates whether the restaurant is Italian or a Seafood/steakhouse restaurant. Price indicates average amount paid per person for dinner and drinks. Score reflects diner’s overall satisfaction, with higher values indicating greater satisfaction (100 is completely satisfied). A regression analysis is conducted using several steps to gauge the impact of the explanatory variables on Score (diner’ satisfaction).

Restaurant

Price ($)

Score

Type

Bertucci's

16

77

Italian

Black Angus

24

79

Seafood/Steak

Bonefish Grill

26

85

Seafood/Steak

Bravo!cuccina italiana

18

84

Italian

Buca di Beppo

17

81

Italian

Bugaboo Steak House

18

77

Seafood/Steak

Carrabba's Italian grill

23

86

Italian

Brown's Steakhouse

17

75

Seafood/Steak

Il Fornaio

28

83

Italian

Joe's crab Shack

15

71

Seafood/Steak

Johnny Carino's Italian

17

81

Italian

Lone Star SteakHouse

17

76

Seafood/Steak

Longhorn steakhouse

19

81

Seafood/Steak

Maggio's little Italy

22

83

Italian

McGrath's Fish House

16

81

Seafood/Steak

Oliven Graden

19

79

Italian

Outback Steakhouse

20

82

Italian

Red Lobster

18

81

Seafood/Steak

Romano's macorroni grill

18

82

Italian

The old spaguetti factory

12

79

Italian

Uno Chicago Grill

16

80

Italian
  1. (0.5pt) Comment on the scatter diagram for the variables price and score.

      Fully explain here:

  1. (0.5pt) How would you include the variable Type of restaurant in a regression model?

      Fully explain here:

MODEL 1- includes only the Price to explain Score

  1. (1pt) Comment on the goodness of fit of MODEL 1.

   Fully explain here:

  1. (1pt) Report the statistical significance of MODEL 1

   Fully explain here:

Solutions

Expert Solution

orchestra answered 1 year ago
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