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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.  Assuming a linear​ relationship, use the​ least-squares method to compute the regression coefficients b0 and b1.

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.  Assuming a linear​ relationship, use the​ least-squares method to compute the regression coefficients b0 and b1.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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. 

Assuming a linear​ relationship, use the​ least-squares method to compute the regression coefficients b0 and b1.

 

Excel File Edit View Insert Format Tools Data Window Help 25% I Wed 4:59 PM AutoSave A data-12 15_2021-4_59 PM v OFF Home Insert Draw Page Layout Formulas Data Review View Tell me A Share Comments Insert v Calibri 11 A A ab 2 Wrap Text v General Delete v $ v % 9 Conditional Format Find & .00 00 20 Analyze Data Paste U Merge & Center v Cell Sort & Sensitivity Formatting as Table Styles Format v Filter Select Open recovered workbooks? Your recent changes were saved. Do you want to continue working where you left off? Yes No A1 fx Summated_Rating A C D F G H J K L M Q U V W 1 Summated_Rating Cost ($_per_person) 2 54 40 3 67 49 4 67 62 65 61 66 44 7 61 41 53 43 9. 61 40 10 51 34 11 51 34 12 50 40 13 52 37 14 75 85 15 61 51 16 52 35 17 50 37 18 55 30 19 44 22 20 57 39 21 54 46 22 63 64 23 62 61 24 52 29 25 71 45 26 68 46 27 28 29 30 31 32 33 34 35 36 37 + Ready 100% 16,382 DEC 4 15 囲 P.
Transcribed Image Text:Excel File Edit View Insert Format Tools Data Window Help 25% I Wed 4:59 PM AutoSave A data-12 15_2021-4_59 PM v OFF Home Insert Draw Page Layout Formulas Data Review View Tell me A Share Comments Insert v Calibri 11 A A ab 2 Wrap Text v General Delete v $ v % 9 Conditional Format Find & .00 00 20 Analyze Data Paste U Merge & Center v Cell Sort & Sensitivity Formatting as Table Styles Format v Filter Select Open recovered workbooks? Your recent changes were saved. Do you want to continue working where you left off? Yes No A1 fx Summated_Rating A C D F G H J K L M Q U V W 1 Summated_Rating Cost ($_per_person) 2 54 40 3 67 49 4 67 62 65 61 66 44 7 61 41 53 43 9. 61 40 10 51 34 11 51 34 12 50 40 13 52 37 14 75 85 15 61 51 16 52 35 17 50 37 18 55 30 19 44 22 20 57 39 21 54 46 22 63 64 23 62 61 24 52 29 25 71 45 26 68 46 27 28 29 30 31 32 33 34 35 36 37 + Ready 100% 16,382 DEC 4 15 囲 P.
OB. ACost ($) 90- 0+ 90 Rating
Transcribed Image Text:OB. ACost ($) 90- 0+ 90 Rating
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