Determine the confidence interval for Jack prediction

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Reference no: EM132850259

Question - United States Motors Inc. (USMI) manufactures automobiles and light trucks and distributes them for sale to consumers through franchised retail outlets. As part of the franchise agreement, dealerships must provide monthly financial statements following the USMI accounting procedures manual. USMI has developed the following financial profile of an average dealership that sells 3,400 new vehicles annually:

AVERAGE DEALERSHIP FINANCIAL PROFILE Composite Income Statement

Sales $68,000,000

Cost of goods sold 56,100,000

Gross profit $11,900,000

Operating costs Variable 1,955,000

Mixed 5,236,000

Fixed 4,202,400

Operating income $506,600

USMI is considering a major expansion of its dealership network. The vice president of marketing has asked Jack Snyder, corporate controller, to develop some measure of the risk associated with the addition of these franchises. Jack estimates that 90% of the mixed costs shown are variable for purposes of this analysis. He also suggests performing regression analyses on the various components of the mixed costs to more definitively determine their variability.

Required -

1. Calculate the composite dealership profit if 4,850 units are sold.

2. The regression equation that Jack Snyder developed to project annual sales of a dealership has an R-squared of 60% and a standard error of the estimate of $10,200,000. If the projected annual sales for a dealership total $64,600,000, determine the approximate 95% confidence interval for Jack's prediction of sales.

Reference no: EM132850259

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