Question: Strugling on Regression Analysis Method. Cant find Slope & Intercept. And Y , f, v please help thanks! 1. Use the regression slope / intercept

Strugling on Regression Analysis Method. Cant find Slope & Intercept. And Y , f, v
please help
thanks!
 Strugling on Regression Analysis Method. Cant find Slope & Intercept. And
Y , f, v please help thanks! 1. Use the regression slope
/ intercept formulas to develop the cost equation Y=f+vX. [Hint: Watch the

1. Use the regression slope / intercept formulas to develop the cost equation Y=f+vX. [Hint: Watch the video lecture on "mixed cost calculations" before you attempt this problem.] 2. What would the city of Rockville's estimated costs be if its trucks drove 500,000 miles in year 7 ? High-Low, Scattergraph, and Regression Analysis; Manufacturing Company. Woodworks, Inc., produces cabinet doors. Manufacturing overhead costs tend to fluctuate from one month to the next, and management would like to accurately estimate these costs for planning and decision-making purposes. The accounting staff at Woodworks recommends that costs be broken down into fixed and variable components. Because the production process is highly automated, most of the manufacturing overhead costs are related to machinery and equipment. The accounting staff believes the best starting point is to review historical data for costs and machine hours: 1. Use the high-low method to estimate total fixed costs per month and the variable cost per machine hour. State your results in the cost equation form Y=f+vX by filling in the dollar amounts for f and v. [Hint: Wotch the video lecture on "mixed cost calculations" before you attempt this problem.] [Hint: Watch the video lecture on "mixed cost calculations" before you attempt this probiem.] 3. Use the results of the high-low method and regression analysis to estimate costs for 1,500 machine hours. (You will have two different answers-one for each method.) Which approach do you think is most accurate and why? Which approach do you thinkis most accurate and why

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