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! Required information [The following information applies to the questions displayed below.] Lexon Incorporated 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 2022. The relevant quarterly data for the previous three years follow: 2019 Quarter 1 2 3 4 Return Expenses $12,500 11,600 11,300 13,700 2020 Quarter 1 2 3 4 Return Expenses $ 12,900 12,100 11,700 14,000 2021 Quarter 1 2 3 4 Return Expenses $13,300 12,300 12,200 14,600 The result of a simple regression analysis using all 12 data points yielded an intercept of $11,856.06 and a coefficient for the independent variable of $127.27. (R-squared = 0.20, SE = $967.49.) Required: 2. Looking at the graph you prepared for requirement 1, select two representative data points and calculate the quarterly forecast for 2022 using the high-low method. 3. Calculate the quarterly forecasts for 2022 using the results of a regression analysis. Evaluate the results of the regression analysis and make appropriate changes to improve the model. (Hint: For Regression Two, use a dummy variable to incorporate seasonality into the model.) Required: 1. Plot the data in the order of the dates. (Click curve 1 and then click the graph to bring up the data coordinates. Enter the exact coordinates for each of the 12 quarters.) Your Graph Score: 100% Return Expense 17,000 16,000 15,000 curve 1 14,000 13,000 12,000 11,000 10,000 9,000 8,000 7,000 6,000 0 2 4 6 8 10 12 14 Quarter

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