[The following information applies to the questions displayed below.] Lexon Inc. is a large manufacturer of affordable DVD players. Management recently became aware of rising expenses resulting from returns of malfunctioning products. As a starting point for further analysis, Paige Jennings, the controller, wants to test different forecasting methods and then use the best one to forecast quarterly expenses for 2019. The relevant quarterly data for the previous three years follow:
2016 Quarter Return Expenses 2017Quarter Return Expenses 2018Quarter Return Expenses
1 $ 13,100 1 $ 13,500 1 $ 14,000
2 11,800 2 12,700 2 12,900
3 12,100 3 12,300 3 12,700
4 14,300 4 14,700 4 15,300
The result of a simple regression analysis using all 12 data points yielded an intercept of $12,383.33 and a coefficient for the independent variable of $138.46. (R-squared = 0.46, SE = $1,017.60.)
2. Looking at the graph you prepared for requirement 1, select two representative data points and calculate the quarterly forecast for 2019 using the high-low method.
3. Calculate the quarterly forecasts for 2019 using the results of a regression analysis. Evaluate the results of the regression analysis and make appropriate changes to improve the model.
Looking at the graph you prepared for requirement 1, select two representative data points and calculate the quarterly forecast for 2019 using the high-low method.
2019 Quarter Return Expenses
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Calculate the quarterly forecasts for 2019 using the results of a regression analysis. Evaluate the results of the regression analysis and make appropriate changes to improve the model. (Round your answers to 2 decimal places for Regression One.)
Regression One
2019 Quarter Predicted Expenses
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Regression Two
2019 Quarter Predicted Expenses
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