hakes and the amount of sales dollars earned. A regression analysis shows the following results. Coefficients Standard Error t-Stat p-value Intercept -12.201 6.560 -1.860 0.100 Number of contacts 2.195 0.176 12.505 0.000 ANOVA df S MS F Significance F Regression 1.00 13,555.42 13,555.42 156.38 0.00 Residual 8.00 693.48 86.68 Total 9.00 14,248.90 ssume that X = 33.4 and E(X – X)´ = 2814. 4. The 95% prediction interval for a particular person making 30 calls is
hakes and the amount of sales dollars earned. A regression analysis shows the following results. Coefficients Standard Error t-Stat p-value Intercept -12.201 6.560 -1.860 0.100 Number of contacts 2.195 0.176 12.505 0.000 ANOVA df S MS F Significance F Regression 1.00 13,555.42 13,555.42 156.38 0.00 Residual 8.00 693.48 86.68 Total 9.00 14,248.90 ssume that X = 33.4 and E(X – X)´ = 2814. 4. The 95% prediction interval for a particular person making 30 calls is
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
![A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson
makes and the amount of sales dollars earned. A regression analysis shows the following results.
Coefficients Standard Error
t-Stat
p-value
Intercept
-12.201
6.560
-1.860
0.100
Number of contacts
2.195
0.176
12.505
0.000
ANOVA
df
SS
MS
Significance F
F
Regression
1.00
13,555.42
13,555.42
156.38
0.00
Residual
8.00
693.48
86.68
Total
9.00
14,248.90
Assume that X = 33.4 and E(X – X)´ = 2814. 4. The 95% prediction interval for a particular person making 30 calls is](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0ab675ce-2e40-481e-8381-32ae8424bad9%2Fd9af70ca-baae-4dae-8594-0ba7b8334769%2Fb6iveq_processed.png&w=3840&q=75)
Transcribed Image Text:A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson
makes and the amount of sales dollars earned. A regression analysis shows the following results.
Coefficients Standard Error
t-Stat
p-value
Intercept
-12.201
6.560
-1.860
0.100
Number of contacts
2.195
0.176
12.505
0.000
ANOVA
df
SS
MS
Significance F
F
Regression
1.00
13,555.42
13,555.42
156.38
0.00
Residual
8.00
693.48
86.68
Total
9.00
14,248.90
Assume that X = 33.4 and E(X – X)´ = 2814. 4. The 95% prediction interval for a particular person making 30 calls is
![Multiple Choice
51.4, 55.9
31.1, 76.2
55.8, 51.5
46.7, 60.6](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0ab675ce-2e40-481e-8381-32ae8424bad9%2Fd9af70ca-baae-4dae-8594-0ba7b8334769%2Fdy5gwgh_processed.png&w=3840&q=75)
Transcribed Image Text:Multiple Choice
51.4, 55.9
31.1, 76.2
55.8, 51.5
46.7, 60.6
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