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I need help answering these questions. I keep getting incorrect answers. A magazine publishes restaurant ratings for various locations around the world. The magazine rates

I need help answering these questions. I keep getting incorrect answers.

A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for?food, de?cor, ?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.

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J25 X A C D G H K L M N 1 Summated_Rating Cost_($_per_person) SUMMARY OUTPUT 54 41 Regression Statistics Multiple R 1.806523451 R Square 0. 650480078 Adjusted R Square 0.635283559 Standard Error 5.004384304 Observations 25 ANOVA SS MS F gnificance F Regression 1 1071.991168 1071.991 42.80455 1.12E-06 Residual 23 576.0088321 25.04386 Total 24 1648 Coefficients Standard Error * Stat P-value Lower 95%Upper 95%ower 95.0"pper 95.0% Intercept 87.47559409 3.497340815 10. 71545 2.04E-10 30.24079 44.71039 30.24079 44.71039 Cost_($_per_person) 0. 492461948 0.075271007 6.542518 1.12E-06 0.336752 0.648172 0.336752 0.648172 RESIDUAL OUTPUT Observation Predicted Summated Rating Residuals dard Residuals 1 7.66653394 3.666533944 -0.74842 62.59115342 7. 408846578 1.512313 7.02331095 2.976689049 0.607609 65.54592511 -0.545925108 -0.11144 9.14391979 7.856080213 1.603603 57.174072 0.174071996 -0.03553 58.15899585 5.158995892 -1.05307 18.15899589 4.841004108 0.988158 9 2. 74191447 0.258085534 0.052681 10 53.23437641 5.234376414 -1.06845 11 57.174072 -7.174071996 -1.46439 12 54. 71176226 -1. 711762257 -0.34941 13 80.31978354 5.319783541 -1.08589 14 63.57607732 -1.576077317 -0.32171 15 56.1891481 -3.189148101 -0.65098 16 54.21930031 5.219300309 -1.06538 17 54.21930031 0. 780699691 0.159358 18 49.29468083 -2.294680832 -0.4684 19 16.68161005 0.318389952 0.064991 20 58.15899589 1.158995892 -0.23658 21 68.99315874 2.993158743 -0.61097 22 66.530849 2.530849004 -0.5166 23 51.26452862 3. 735471377 0.762494 24 61.60622953 11.39377047 2.325726 25 60.62130563 8.37869437 1.710281

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