Restaurant Price Food Decor Service East

Amarone 33 19 15 18 0

Anche Vivolo 37 19 17 19 1

Andiamo 33 18 17 18 1

Arno 41 19 17 19 0

Artusi 44 20 19 20 0

Baci 31 17 15 16 0

Baraonda 37 17 18 15 1

Barbaresco 44 16 16 16 1

Barbetta 52 20 23 20 0

Bardolino 24 18 13 18 1

Basta Pasta 32 18 15 17 0

Becco 38 20 17 19 0

Bella Luna 31 18 16 17 0

Bellini 49 22 21 21 1

Bello 38 21 17 20 0

Bice 51 21 20 18 1

Bond Ristorante 37 20 17 19 0

Bravo Gianni 56 22 17 21 1

Bruno Ristorante 50 22 19 22 1

Cafe Trevi 46 23 19 23 1

Caffe Cielo 38 18 17 18 0

Caffe Grazie 38 18 16 19 1

Campagna 51 24 21 21 1

Campagnola 53 24 20 21 1

Canaletto 44 22 17 21 1

Cara Mia 29 19 15 17 0

Carino Ristorante 30 19 13 20 1

Casa Di Meglio 33 19 17 18 0

Casa Mia 31 20 19 19 1

Castellano 49 21 18 20 0

Cellini 45 22 20 22 1

Chianti 43 20 16 18 1

Ciao Europa 40 19 19 18 0

Circo Osteria del 53 22 24 21 0

Coco Pazzo 55 22 21 20 1

Coco Pazzo Caf 49 20 19 19 1

Coco Pazzo Teatro 47 18 18 17 0

Cucina Vivolo 31 19 16 17 1

Da Antonio Ristorante 49 22 19 20 1

Da Filippo 46 20 18 20 1

Da Tommaso 42 21 16 20 0

DeGrezia 51 23 22 23 1

Divino Ristorante 37 19 15 19 1

Due 37 22 18 20 1

East River Cafe 40 20 20 20 1

Ecco-la 25 18 15 15 1

Elio's 50 23 18 20 1

Enoteca i Trulli 43 23 20 21 1

Restaurant Data. Read the data description carefully!

For this question and the next, you will use this customer survey data of Italian restaurants in Manhattan.The data are in the form of the average of customer reviews.

The variables are defined as follows:

Price= price (in $) of dinner (including one drink and a tip)

Food = customer rating of the food (out of 30)

Decor= customer rating of the decor (out of 30)

Service= customer rating of the service (out of 30)

East = 1 if the restaurant is east of Fifth Ave, 0 if not. If it is not East of fifth Ave, it will be to the West.

You are given the regression outputs from the Restaurant data.The dependent variable is the Price.

The independent variables are:Food, Dcor, Service and East. Using the output, answer questions (a) through (e).

Tou are given the regression outputs mom the net Regression Statistics variable is the Price. Multiple R 0.801 The independent variables are: Food, Decor, Serv R Square 0.641 answer questions (a) through (e). Adjusted R Squ 0.632 Standard Error 5.739 Observations 154 ANOVA df SS MS F ignificance F Regression 4 8769.49 2192.37 66.56 0.000 Residual 149 4907.56 32.94 Total 153 13677.05 Coefficientsandard Errot Stat P-value Lower 95% Upper 95% Intercept -23.839 4.800 -4.967 0.000 -33.324 -14.355 Food 1.431 0.387 3.700 0.000 0.667 2.196 Decor 1.904 0.226 8.422 0.000 1.457 2.351 Service 0.123 0.414 0.296 0.768 0.696 0.941 East 1.860 1.001 1.858 0.065 0.118 3.838