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Required: 3. Using the high-low method, calculate Garfield's total fixed operating costs and variable operating cost per bottle. 4. Perform a least-squares regression analysis on Garfield's data. 5. Determine how well this regression analysis explains the data. 6. Using the regression output, create a linear cost equation (y=a+bx) for estimating Garfield's operating costs. Complete this question by entering your answers in the tabs below. Perform a least-squares regression analysis on Garfield's data. Note: Use Microsoft. Excel or a statistical package to find the coefficients using least-squares regression. Round your answers to 3 decimal places. Required: 3. Using the high-low method, calculate Garfield's total fixed operating costs and variable operating cost per bottle. 4. Perform a least-squares regression analysis on Garfield's data. 5. Determine how well this regression analysis explains the data. 6. Using the regression output, create a linear cost equation (y=a+bx) for estimating Garfield's operating costs. Complete this question by entering your answers in the tabs below. Determine how well this regression analysis explains the data. Note: Round your regression statistics to three decimal places and, observation and percentage answer to the nearest whole. number, Required: 3. Using the high-low method, calculate Garfield's total fixed operating costs and vatiable operating cost per bottle. 4. Perform a least-squares regression analysis on Garfield's data. 5. Determine how well this regression analysis explains the data. 6. Using the regression output, create a linear cost equation (y=a+bx) for estimating Garfield's operating costs. Complete this question by entering your answers in the tabs below. Using the regression output, create a linear cost equation (y=a+bx) for estimating Garfield's operating costs. Note: Round your answers to 3 decimal places