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[The following information applies to the questions displayed below.] Waveney DIY Centers (WDC) operates a few dozen stores in the eastern United States. The stores

[The following information applies to the questions displayed below.]

Waveney DIY Centers (WDC) operates a few dozen stores in the eastern United States. The stores are popular with home remodelers, contractors, and do-it-yourself customers. The managers at Waveney are interested in understanding what drives costs as well as getting better cost estimates when planning new stores. The area manager for the Southeast Region is interested in new data analysis approaches to management and offered to run a test using data from the 14 stores in the region.

The initial thoughts of the managers and the financial analysts in the region were that two primary factors drove store costs: store area (square footage) and revenue. The following data were collected from the most recent year of operations (revenues and costs in thousands of dollars).

Store Revenues ($000) Area (Square Feet) Costs ($000)
SE-01 $ 21,445 70,047 $ 16,699
SE-02 16,382 52,317 13,395
SE-03 26,621 84,231 20,110
SE-04 20,289 68,274 15,979
SE-05 20,566 59,409 16,012
SE-06 18,656 68,274 14,999
SE-07 25,405 96,648 19,591
SE-08 13,601 46,998 11,647
SE-09 23,981 78,912 18,353
SE-10 16,730 62,955 13,764
SE-11 21,258 66,501 16,533
SE-12 18,020 73,593 14,697
SE-13 14,574 62,955 12,470
SE-14 23,804 75,366 18,194

Results from a regression of store costs on store area are as follows.

Equation:
Store costs = $3,475.02 (in thousands) + ($0.212 Area)
Statistical data
Correlation coefficient 0.863
R2 0.745

Required:

The managers in the region are interested in opening a new store with expected area of 54,500 square feet. Assuming the data and cost estimates from the current stores are appropriate for the new store (SE-18), what are the estimated store costs for store SE-18 using the results from this regression?

Note: Do not round your intermediate calculations. Enter your answer in thousands of dollars rounded to 2 decimal places.

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[The following information applies to the questions displayed below.] Waveney DIY Centers (WDC) operates a few dozen stores in the eastern United States. The stores are popular with home remodelers, contractors, and do-it-yourself customers. The managers at Waveney are interested in understanding what drives costs as well as getting better cost estimates when planning new stores. The area manager for the Southeast Region is interested in new data analysis approaches to management and offered to run a test using data from the 14 stores in the region. The initial thoughts of the managers and the financial analysts in the region were that two primary factors drove store costs: store area (square footage) and revenue. The following data were collected from the most recent year of operations (revenues and costs in thousands of dollars). Results from a regression of store costs on store area are as follows. Equation: Store costs =$3,475.02 (in thousands )+($0.212 Area ) Statistical data CorrelationcoefficientA20.8630.745 Ine intal thougnts or the managers and une inancial analysis in the region were unat two primary iactors arove store costs: store area (square footage) and revenue. The following data were collected from the most recent year of operations (revenues and costs in thousands of dollars). Results from a regression of store costs on store area are as follows. Equation: Store costs =$3,475.02 (in thousands) +($0.212 Area) Statistical data Correlation coefficient 0.863 R2 0.745 Required: The managers in the region are interested in opening a new store with expected area of 54,500 square feet. Assuming the data and cost estimates from the current stores are appropriate for the new store (SE-18), what are the estimated store costs for store SE-18 using the results from this regression? Note: Do not round your intermediate calculations. Enter your answer in thousands of dollars rounded to 2 decimal places

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