Years of Annual Sales Salesperson Experience ($1000s) 1 1 80 89 3 3 99 4 3 118 5 136 7 140 7 152 8 11 168 12 187 10 14 196 2. 6.
Years of Annual Sales Salesperson Experience ($1000s) 1 1 80 89 3 3 99 4 3 118 5 136 7 140 7 152 8 11 168 12 187 10 14 196 2. 6.
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
Topic Video
Question
Q5
![A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersor
Years of
Annual Sales
Salesperson
Experience
($1000s)
1
1
80
2
2
89
3
3
99
4
118
5
136
6.
7
140
7
152
8
11
168
12
187
10
14
196
The data on y = annual sales ($1000s) for new customer accounts and x = number of years of experience for a sample of 10 salespersons provided the
estimated regression equation ŷ = 79.14 + 8.56x. For these data i = 6.7, ) (x; – ) = 190.10, and s =
8.6531.
%3D
-
a. Develop the 95% confidence interval for the mean annual sales ($1000s) for all salespersons with thirteen years of experience.
($
$
) (to 2 decimals)
b. The company is considering hiring Tom Smart, a salesperson with thirteen years of experience. Develop a 95% prediction interval of annual sales ($1000s)
for Tom Smart.
($
2$
) (to 2 decimals)
c. Discuss the differences in your answers to parts (a) and (b).
As expected, the prediction interval is much wider
than the confidence interval. This is due to the fact that it is more
difficult
to predict annual sales for one new salesperson with 13 years of experience than it is to estimate the mean annual sales for all
salespersons with 13 years of experience.
LO](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbd5b8b04-e45f-46d3-ab80-25e6385d85ad%2Fbb1b9ece-256b-47ec-988b-85adac09436e%2F0ac96d_processed.png&w=3840&q=75)
Transcribed Image Text:A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersor
Years of
Annual Sales
Salesperson
Experience
($1000s)
1
1
80
2
2
89
3
3
99
4
118
5
136
6.
7
140
7
152
8
11
168
12
187
10
14
196
The data on y = annual sales ($1000s) for new customer accounts and x = number of years of experience for a sample of 10 salespersons provided the
estimated regression equation ŷ = 79.14 + 8.56x. For these data i = 6.7, ) (x; – ) = 190.10, and s =
8.6531.
%3D
-
a. Develop the 95% confidence interval for the mean annual sales ($1000s) for all salespersons with thirteen years of experience.
($
$
) (to 2 decimals)
b. The company is considering hiring Tom Smart, a salesperson with thirteen years of experience. Develop a 95% prediction interval of annual sales ($1000s)
for Tom Smart.
($
2$
) (to 2 decimals)
c. Discuss the differences in your answers to parts (a) and (b).
As expected, the prediction interval is much wider
than the confidence interval. This is due to the fact that it is more
difficult
to predict annual sales for one new salesperson with 13 years of experience than it is to estimate the mean annual sales for all
salespersons with 13 years of experience.
LO
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