Required Information [The following information applies to the questions displayed below.] Davis Stores sells clothing in 15 stores located around the southwestern United States. The managers at Davis are considering expanding by opening new stores and are interested in estimating costs in potential new locations. They believe that costs are driven in large part by store volume measured by revenue. During a discussion, one of the managers suggests that number of employees might be better at explaining cost than store revenues. As a result of that suggestion, managers collected the following information from last year's operations (revenues and costs in thousands of dollars): Store 101 102 103 184 105 186 187 108 109 110 111 112 113 114 115 Req D1 Costs $5,740 3,565 5,600 Intercept Employees 4,327 3,689 Reg D2 2,777 2,821 2,318 2,124 3,090 2,329 5,973 5,257 3,220 5,411 Employees 51 49 51 35 38 26 35 37 24 29 28 56 53 53 50 Revenues $2,724 5,096 5,183 2,240 5,519 2,846 3,349 6,340 3,646 2,833 d-1. Enter the regression coefficients. d-2. Estimate the cost of a store with 26 employees using the results from a simple regression of store cost on employees. 4,732 6,716 Complete this question by entering your answers in the tabs below. 4,487 5,192 3,606 Enter the regression coefficients. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Required Information
[The following information applies to the questions displayed below.]
Davis Stores sells clothing in 15 stores located around the southwestern United States. The managers at Davis are
considering expanding by opening new stores and are interested in estimating costs in potential new locations. They
believe that costs are driven in large part by store volume measured by revenue. During a discussion, one of the
managers suggests that number of employees might be better at explaining cost than store revenues. As a result of that
suggestion, managers collected the following information from last year's operations (revenues and costs in thousands of
dollars):
Store
101
182
103
184
105
Req D1
106
107
108
109
110
111
112
113.
114
115
Intercept
Employees
Costs
$5,740
3,565
5,600
4,327
3,689
2,777
2,821
2,318
2,124
3,090
2,329
5,973
5,257
3,220
5,411
Req D2
Employees
51
49
51
35
38
26
35
37
24
29
28
56
53
53
50
Revenues
$2,724
5,096
5,183
2,240
5,519
2,846
3,349
6,340
3,646
2,833
d-1. Enter the regression coefficients.
d-2. Estimate the cost of a store with 26 employees using the results from a simple regression of store cost on employees.
4,732
6,716
4,407
Complete this question by entering your answers in the tabs below.
5,192
3,606
Enter the regression coefficients. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus
sign.)
Transcribed Image Text:Required Information [The following information applies to the questions displayed below.] Davis Stores sells clothing in 15 stores located around the southwestern United States. The managers at Davis are considering expanding by opening new stores and are interested in estimating costs in potential new locations. They believe that costs are driven in large part by store volume measured by revenue. During a discussion, one of the managers suggests that number of employees might be better at explaining cost than store revenues. As a result of that suggestion, managers collected the following information from last year's operations (revenues and costs in thousands of dollars): Store 101 182 103 184 105 Req D1 106 107 108 109 110 111 112 113. 114 115 Intercept Employees Costs $5,740 3,565 5,600 4,327 3,689 2,777 2,821 2,318 2,124 3,090 2,329 5,973 5,257 3,220 5,411 Req D2 Employees 51 49 51 35 38 26 35 37 24 29 28 56 53 53 50 Revenues $2,724 5,096 5,183 2,240 5,519 2,846 3,349 6,340 3,646 2,833 d-1. Enter the regression coefficients. d-2. Estimate the cost of a store with 26 employees using the results from a simple regression of store cost on employees. 4,732 6,716 4,407 Complete this question by entering your answers in the tabs below. 5,192 3,606 Enter the regression coefficients. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)
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