Required information [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 1 2018 Quarter AWNE Return Expenses $ 13,750 12,400 12,700 15,000 2017 Quarter 1 2 3 4 Return Expenses $ 14,100 13,200 12,800 15,300 Return Expenses $ 14,500 13,400 13, 200 15,900 3 4 2 3 4 The result of a simple regression analysis using all 12 data points yielded an intercept of $13,025.76 and a coefficient for the independent variable of $127.45. (R-squared = 0.17, SE = $1,066.52.) Required: 1. Plot the data in the order of the dates. (To earn full credit for this graph you must plot all required points for each curve. While plotting the points a tool icon will pop up. You can use this to enter exact co-ordinates for your points as needed.) Return Expense 17,000 16,000 Tools 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 Required information [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 2017 Quarter 2018 Quarter Return Expenses $ 13,750 12,400 12,700 15,000 Return Expenses $ 14,100 13,200 12,800 15,300 Return Expenses $ 14,500 13,400 13, 200 15,900 2 3 4 2 3 4 4 The result of a simple regression analysis using all 12 data points yielded an intercept of $13,025.76 and a coefficient for the independent variable of $127.45. (R-squared = 0.17, SE = $1,066.52.) 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. 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. 2019 Quarter Return Expenses 1 2 3 4 Required 2 Required 3 > Required information (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 $ 13,750 12,400 12,700 15,000 2017 Quarter 1 2 3 4 Return Expenses $ 14,100 13,200 12,800 15,300 2018 Quarter 1 2 3 4 Return Expenses $ 14,500 13,400 13,200 15,900 3 4 The result of a simple regression analysis using all 12 data points yielded an intercept of $13,025.76 and a coefficient for the independent variable of $127.45. (R-squared = 0.17, SE = $1,066.52.) 2. Looking at the graph you prepared for requirement 1, select two representative data points and calculate the quarterly forecast 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 analys and make appropriate changes to improve the model. 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 a regression analysis. Evaluate the results of the regression analysis and make appropriate changes to improve the model. (Do not round intermediate calculations. Round your final answers to two decimal places.) Regression One 2019 Quarter Predicted Expenses 1 2 3 4 Regression Two Predicted 2019 Quarter Expenses 1 2 3 4 Required information (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 $ 13,750 12,400 12,700 15,000 2017 Quarter 1 2 3 4 Return Expenses $ 14,100 13,200 12,800 15,300 2018 Quarter 1 2 3 4 Return Expenses $ 14,500 13,400 13,200 15,900 3 4 The result of a simple regression analysis using all 12 data points yielded an intercept of $13,025.76 and a coefficient for the independent variable of $127.45. (R-squared = 0.17, SE = $1,066.52.) 2. Looking at the graph you prepared for requirement 1, select two representative data points and calculate the quarterly forecast 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 analys and make appropriate changes to improve the model. 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 a regression analysis. Evaluate the results of the regression analysis and make appropriate changes to improve the model. (Do not round intermediate calculations. Round your final answers to two decimal places.) Regression One 2019 Quarter Predicted Expenses 1 2 3 4 Regression Two Predicted 2019 Quarter Expenses 1 2 3 4