Question: urgent please 1 Question 4 Linear Regression (4 marks) A Manufacturing Company uses two different independent variables in two different equations to evaluate the cost

urgent please
urgent please 1 Question 4 Linear Regression (4 marks) A Manufacturing Company
uses two different independent variables in two different equations to evaluate the
cost activities of the packaging department, machine-hours and 2 number of packages.

1 Question 4 Linear Regression (4 marks) A Manufacturing Company uses two different independent variables in two different equations to evaluate the cost activities of the packaging department, machine-hours and 2 number of packages. The most recent month's results of the two regressions are as follows: 4 Machine hours: 5 Variable Coefficient Standard Error t-Value 3.11 6 Constant 1.68 Predictor Variable 9 r2 = 0.29 10 11 Number of packages: t-Value 12 Variable 2.2 12 Constant 8 652.32 44.3 Coefficient 65.081 209.75 24.61 Standard Error 75.041 10 11 Number of packages: t-Value 12 Variable 13 Constant 65.08 75.04 2.2 4.3 14 Predictor Variable 2 2.15 15 16 r2 = 0.61 17 18 There were twenty degrees of freedom. The critical value at the 95% level is 1.729. 19 20 Required: a. What are the estimating equations for each cost driver? (2 marks) Coefficient Standard Error 26 27 b. Which cost driver is best and why? (2 marks) 28

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