Problem 2: (Revised 6.3) Magazine Advertising: In a study of revenue from advertising, data were collected for 41 magazines list as follows. The variables observed are number of pages of advertising and advertising revenue. The names of the magazines are listed as: (use sas） Magazine P R Cosmopolitan 25 50 Redbook 15 49.7 Glamour 20 34 Southern Living 17 30.7 Vogue 23 27 Sunset 17 26.3 House and Garden 14 24.6 New York Magazine 22 16.9 House Beautiful 12 16.7 Mademoiselle 15 14.6 Psychology Today 8 13.8 Life Magazine 7 13.2 Smithsonian 9 13.1 Rolling Stone 12 10.6 Modern Bride 1 8.8 Parents 6 8.7 Architectural Digest 12 8.5 Harper's Bazaar 9 8.3 Apartment Life 7 8.2 Bon Appetit 9 8.2 Gourmet 7 7.3 Town and Country 1 7 True Story 77 6.6 Brides 13 6.2 Book Digest Magazine 5 5.8 W 7 5.1 Yankee 13 4.1 Playgirl 4 3.9 Saturday Review 6 3.9 New Woman 3 3.5 Ms. 6 3.3 Cuisine 4 3 Mother Earth News 3 2.5 1001 Decorating Ideas 3 2.3 Self 5 2.3 Decorating Craft Ideas 4 1.8 Saturday Evening Post 4 1.5 McCall's Needlework and Craft 3 1.3 Weight Watchers 3 1.3 High Times 4 1 Soap Opera Digest 2 0.3 Fit a linear regression equation relating advertising revenue to advertising pages. Verify that the fit is poor. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit. You should not be surprised by the presence of a large number of outliers because the magazines are highly heterogeneous and it is unrealistic to expect a single relationship to connect all of them. Find outliers and high leverage points. Delete the outliers and obtain an acceptable regression equation that relates advertising revenue to advertising pages. For the deleted data, check the homogeneity of the variance. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit.

Problem 2: (Revised 6.3) Magazine Advertising: In a study of revenue from advertising, data were collected for 41 magazines list as follows. The variables observed are number of pages of advertising and advertising revenue. The names of the magazines are listed as: (use sas） Magazine P R Cosmopolitan 25 50 Redbook 15 49.7 Glamour 20 34 Southern Living 17 30.7 Vogue 23 27 Sunset 17 26.3 House and Garden 14 24.6 New York Magazine 22 16.9 House Beautiful 12 16.7 Mademoiselle 15 14.6 Psychology Today 8 13.8 Life Magazine 7 13.2 Smithsonian 9 13.1 Rolling Stone 12 10.6 Modern Bride 1 8.8 Parents 6 8.7 Architectural Digest 12 8.5 Harper's Bazaar 9 8.3 Apartment Life 7 8.2 Bon Appetit 9 8.2 Gourmet 7 7.3 Town and Country 1 7 True Story 77 6.6 Brides 13 6.2 Book Digest Magazine 5 5.8 W 7 5.1 Yankee 13 4.1 Playgirl 4 3.9 Saturday Review 6 3.9 New Woman 3 3.5 Ms. 6 3.3 Cuisine 4 3 Mother Earth News 3 2.5 1001 Decorating Ideas 3 2.3 Self 5 2.3 Decorating Craft Ideas 4 1.8 Saturday Evening Post 4 1.5 McCall's Needlework and Craft 3 1.3 Weight Watchers 3 1.3 High Times 4 1 Soap Opera Digest 2 0.3 Fit a linear regression equation relating advertising revenue to advertising pages. Verify that the fit is poor. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit. You should not be surprised by the presence of a large number of outliers because the magazines are highly heterogeneous and it is unrealistic to expect a single relationship to connect all of them. Find outliers and high leverage points. Delete the outliers and obtain an acceptable regression equation that relates advertising revenue to advertising pages. For the deleted data, check the homogeneity of the variance. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit.

Name: Problem 2: (Revised 6.3) Magazine Advertising: In a study of revenue f
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Description: Problem 2: (Revised 6.3) Magazine Advertising: In a study of revenue from advertising, data were collected for 41 magazines list as follows. The variables observed are number of pages of advertising and advertising revenue. The names of the magazines

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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(use sas）

Magazine	P	R
Cosmopolitan	25	50
Redbook	15	49.7
Glamour	20	34
Southern Living	17	30.7
Vogue	23	27
Sunset	17	26.3
House and Garden	14	24.6
New York Magazine	22	16.9
House Beautiful	12	16.7
Mademoiselle	15	14.6
Psychology Today	8	13.8
Life Magazine	7	13.2
Smithsonian	9	13.1
Rolling Stone	12	10.6
Modern Bride	1	8.8
Parents	6	8.7
Architectural Digest	12	8.5
Harper's Bazaar	9	8.3
Apartment Life	7	8.2
Bon Appetit	9	8.2
Gourmet	7	7.3
Town and Country	1	7
True Story	77	6.6
Brides	13	6.2
Book Digest Magazine	5	5.8
W	7	5.1
Yankee	13	4.1
Playgirl	4	3.9
Saturday Review	6	3.9
New Woman	3	3.5
Ms.	6	3.3
Cuisine	4	3
Mother Earth News	3	2.5
1001 Decorating Ideas	3	2.3
Self	5	2.3
Decorating Craft Ideas	4	1.8
Saturday Evening Post	4	1.5
McCall's Needlework and Craft	3	1.3
Weight Watchers	3	1.3
High Times	4	1
Soap Opera Digest	2	0.3

Fit a linear regression equation relating advertising revenue to advertising pages. Verify that the fit is poor.
Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit.
You should not be surprised by the presence of a large number of outliers because the magazines are highly heterogeneous and it is unrealistic to expect a single relationship to connect all of them. Find outliers and high leverage points. Delete the outliers and obtain an acceptable regression equation that relates advertising revenue to advertising pages.
For the deleted data, check the homogeneity of the variance. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit.

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