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 salespersons. Years of Annual Salesperson Experience Sales ($1000s) 80 81 82 101 107 102 7 103 8 109 9 104 10 119 The data on y = annual sales ($1000s) for new customer accounts and = number of years of experience for a sample of 10 salespersons provided the estimated regression equation ŷ = 78.07 +2.92x. For these data = 7.1, (₁-7)² = 154.90, and s=5.8255. a. Develop the 90% 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 90% prediction interval of annual sales ($1000s) for Tom Smart. ($ 3) (to 2 decimals) 1 2 3 4 5 6 1 2 4 6 7 7 8 10 12 14

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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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 salespersons.
Years of Annual
Salesperson Experience
Sales
($1000s)
80
81
82
1
2
3
4
5
6
7
8
9
1
2
4
6
7
7
8
10
12
14
101
107
102
103
109
104
10
119
The data on y = annual sales ($1000s) for new customer accounts and = number of years of experience for a sample of 10 salespersons provided the estimated regression equation
ŷ = 78.07 +2.92€. For these data = 7.1, Σ(x₁ - x)² = 154.90, and = 5.8255.
a. Develop the 90% confidence interval for the mean annual sales ($1000s) for all salespersons with thirteen years of experience.
($
X) (to 2 decimals)
b. The company is considering hiring Tom Smart, a salesperson with thirteen years of experience. Develop a 90% prediction interval of annual sales ($1000s) for Tom Smart.
) (to 2 decimals)
($
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
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.
to predict annual
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 salespersons. Years of Annual Salesperson Experience Sales ($1000s) 80 81 82 1 2 3 4 5 6 7 8 9 1 2 4 6 7 7 8 10 12 14 101 107 102 103 109 104 10 119 The data on y = annual sales ($1000s) for new customer accounts and = number of years of experience for a sample of 10 salespersons provided the estimated regression equation ŷ = 78.07 +2.92€. For these data = 7.1, Σ(x₁ - x)² = 154.90, and = 5.8255. a. Develop the 90% confidence interval for the mean annual sales ($1000s) for all salespersons with thirteen years of experience. ($ X) (to 2 decimals) b. The company is considering hiring Tom Smart, a salesperson with thirteen years of experience. Develop a 90% prediction interval of annual sales ($1000s) for Tom Smart. ) (to 2 decimals) ($ 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 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. to predict annual
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