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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

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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 1 2 3 4 Return Expenses $ 13,000 11,800 12,100 14,300 2017 Quarter 1 2 3 4 Return Expenses $ 13,500 12,700 12,300 14,700 2018 Quarter 1 2 3 4 Return Expenses $ 14,000 12,900 12,700 15, 300 The result of a simple regression analysis using all 12 data points yielded an intercept of $12,350.00 and a coefficient for the independent variable of $142.31. (R-squared = 0.22, SE = $1,012.25.) 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 the regression analysis. Complete this question by entering your answers in the tabs below. Required 2 Required 3 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. 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 the regression analysis. Complete this question by entering your answers in the tabs below. Required 2 Required 3 Looking at the graphy Required 3 yreapured for requirement 1, select two representative data points and calculate the quarterly forecast for 2019 using the high-low method. 2019 Quarter Return Expenses 1 2 3 4 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 the regression analysis. Complete this question by entering your answers in the tabs below. Required 2 Required 3 Calculate the quarterly forecasts for 2019 using the results of the regression analysis. (Do not round intermediate calculations. Round your final answers to two decimal places.) Regression One Predicted 2019 Quarter Expenses 1 2 3 4 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 1 2 3 4 Return Expenses $ 13,000 11,800 12,100 14,300 2017 Quarter 1 2 3 4 Return Expenses $ 13,500 12,700 12,300 14,700 2018 Quarter 1 2 3 4 Return Expenses $ 14,000 12,900 12,700 15, 300 The result of a simple regression analysis using all 12 data points yielded an intercept of $12,350.00 and a coefficient for the independent variable of $142.31. (R-squared = 0.22, SE = $1,012.25.) 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 the regression analysis. Complete this question by entering your answers in the tabs below. Required 2 Required 3 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. 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 the regression analysis. Complete this question by entering your answers in the tabs below. Required 2 Required 3 Looking at the graphy Required 3 yreapured for requirement 1, select two representative data points and calculate the quarterly forecast for 2019 using the high-low method. 2019 Quarter Return Expenses 1 2 3 4 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 the regression analysis. Complete this question by entering your answers in the tabs below. Required 2 Required 3 Calculate the quarterly forecasts for 2019 using the results of the regression analysis. (Do not round intermediate calculations. Round your final answers to two decimal places.) Regression One Predicted 2019 Quarter Expenses 1 2 3 4

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