5. How many districts were sampled in all? A) 21 C) 25 D) 26 6. What is the estimate for the error variance [? B) 24 C) 92.245 1937.137 A) 9.604 B) 12.960 D)
5. How many districts were sampled in all? A) 21 C) 25 D) 26 6. What is the estimate for the error variance [? B) 24 C) 92.245 1937.137 A) 9.604 B) 12.960 D)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![The data referred to in this question were collected from several sales districts across the country.
The data represent sales for a maker of asphalt roofing shingles. Information on the following
variables is available:
Sales
Sales from last year in thousands of squares
Expenditures
Promotional expenditures in thousands of dollars
Accounts
Number of active accounts
Competing Brands
Number of competing brands producing equivalent or similar products
District Potential
A coded indicator of the potential of the district
(higher score = better potential)
Partial SPSS regression output of a multiple regression model with sales as the response variable
and the other four variables as predictor variables is given below:
ANOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
Regression
176777.1
4
44194.265
479.099
.000
Residual
1937.137
21
92.245
Total
178714.2
25
Coefficients
Unstandardized
Standardized
Coefficients
Coefficients
Model
Std. Error
Beta
t
Sig.
(Constant)
Promotional Expenditures
1
178.320
12.960
13.759
.00000
1.807
1.081
039
1.672
.10944
Number of Active Accounts
3.318
163
.558
20.368
.00000
Number of Competing Brands
-21.185
.788
-647
-26.887
.00000
District Potential
.325
468
018
.694
49544
M Notifications
91
M Inbox
Calendar
To Do](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7829d723-61c8-4c89-86b3-ca3adaa41272%2F8a41486f-2233-4df4-8e47-5589fae7b729%2F9sbwb4g_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The data referred to in this question were collected from several sales districts across the country.
The data represent sales for a maker of asphalt roofing shingles. Information on the following
variables is available:
Sales
Sales from last year in thousands of squares
Expenditures
Promotional expenditures in thousands of dollars
Accounts
Number of active accounts
Competing Brands
Number of competing brands producing equivalent or similar products
District Potential
A coded indicator of the potential of the district
(higher score = better potential)
Partial SPSS regression output of a multiple regression model with sales as the response variable
and the other four variables as predictor variables is given below:
ANOVA
Sum of
Model
Squares
df
Mean Square
F
Sig.
Regression
176777.1
4
44194.265
479.099
.000
Residual
1937.137
21
92.245
Total
178714.2
25
Coefficients
Unstandardized
Standardized
Coefficients
Coefficients
Model
Std. Error
Beta
t
Sig.
(Constant)
Promotional Expenditures
1
178.320
12.960
13.759
.00000
1.807
1.081
039
1.672
.10944
Number of Active Accounts
3.318
163
.558
20.368
.00000
Number of Competing Brands
-21.185
.788
-647
-26.887
.00000
District Potential
.325
468
018
.694
49544
M Notifications
91
M Inbox
Calendar
To Do
![5. How many districts were sampled in all?
C)
A) 21
25
B) 24
D)
26
6. What is the estimate for the error variance 7?
A) 9.604
C)
92.245
B) 12.960
D)
1937.137](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7829d723-61c8-4c89-86b3-ca3adaa41272%2F8a41486f-2233-4df4-8e47-5589fae7b729%2Fdddos5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:5. How many districts were sampled in all?
C)
A) 21
25
B) 24
D)
26
6. What is the estimate for the error variance 7?
A) 9.604
C)
92.245
B) 12.960
D)
1937.137
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