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3. Using the high-low method, calculate Odessa's total fixed shipping costs and varlable shipping cost per unit. 4. Perform a least-squares regression analysis on Odessa's data. 5. Using the regression output, create a linear equation (y=a+bx) for estimating Odessa's shipping costs. Complete this question by entering your answers in the tabs below. Using the high-low method, calculate Odessa's total fixed shipping costs and variable shipping cost per unit. Note: Round your intermediate caiculations to 2 decimal places and finat answers to the nearest dollar. Required: 3. Using the high-low method, calculate Odessa's total fixed shipping costs and variable shipping cost per unit. 4. Perform a least-squares regression analysis on Odessa's data. 5. Using the regression output, create a linear equation (y=a+bx) for estimating Odessa's shipping costs. Complete this question by entering your answers in the tabs below. Using the regression output, create a linear equation (y=a+bx) for estimating Odessa's shipping costs. Note: Round your answers to 2 decimal places. Required: 3. Using the high-low method, calculate Odessa's total fixed shipping costs and variable shipping cost per unit. 4. Perform a least-squares regression analysis on Odessa's data. 5. Using the regression output, create a linear equation (y=a+bx) for estimating Odessa's shipping costs. Complete this question by entering your answers in the tabs below. Perform a least-squares regression analysis on Odessa's data. Note: Use Microsoft Excel or a statistical package to find the coefficients using least-squares regression, Round your answers to 2 decimal places. Required information [The following information applies to the questions displayed below] Odessa, Incorporated, manufactures one model of computer desk. The following data are avalable regarding units shipped and total shipping costs Required: 3. Using the high-low method, calculate Odessa's total fixed shipping costs and variable shipping cost per unit. 4. Perform a least-squares regression analysis on Odessa's data. 5. Using the regression output, create a linear equation (y=a+bx) for estimating Odessa's shipping costs. Complete this question by entering your answers in the tabs below

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