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Book PH Hexible Budget, Multiple Regression The controller for Male Company's Salem plant is analyzing overhead in order to determine appropriate drivers for use in flexible budgeting. She decided to concentrate on the past 12 months since that time period was one in which there was the important change in technology, product lines, and so on. Data on overhead costs, number of machine hours, number of setups, and number of purchase orders are in the following table Number of Machine Hours 1.000 Number of Purchase Orders 210 Setup 20 za 1,100 1.050 23 Overhead Months Costs January $32.296 February 31,550 March 36,280 Roll 36,667 MY 36.790 June 37.500 July 40.024 August 39,256 September 33.00 October 33.770 November 37,225 December 22.560 3423.10 1.17 1200 1,235 1.190 3.0 250 300 270 25 240 237 102 250 195 27 24 20 3,20 270 150 15 11.446 1. mulieren que using machine lumber of ups and number where we are se fut ford for the 12th the sation Cound the regression coefficient to the recent and red over to the there is another and in the other you He Company lei Budet for overload Aw Required: 1. Run a multiple regression equation using machine hours, number of setup and ruler of purchase orders an independentables. Pripare a fidia budod for ord for the 12 months in the touts of this regeesdon equation (Round the regression coefficients to the nearest cent and predicted overhead to the nearest dollar) If there is no variance, enter for the amount and select "NA" In the last column. Enter all your answers as positive amounts Month Hair Company Flexible Budget for Overhead Predicted Overhead Actual Overad Variance 3ATOX 32 2X travel Juary 20.335X 3. February X Lavorable 3 16700 X favorite 13 X SA V Lindaveeb Hav X 3510 xavara X 17.000 40 thlete ale 300 xvavene Favorabile October 13 . Favorable 411,147 Favorable Now, suppose that the controller remembers that the factory throns two big parties ach year color 00 the other one anber of setups, and trumber of purchase orders and add a dummy variable called "Party" (This beta the value one for months with a factory.sponsored party and are otherwise) Prepare a Xable budout for the 12 months in the results of this regro. (Round the regression coefidents to the cent and predicted overhead to the heart do) there is no variance, entre for the amount and select 'NA the last column your positive Mr Com Flexed for Overhead Month Predicted Over Ait Over 2.400 X 22 X January Unfavorable 30.735 x 31 February favorable March X Favorable 2007 3.62 nay cay Favorable Har 31. June Favor July 3701 Mogu D Favo vember De 36 Flexible Budget, Multiple Regression 300 The controller for Muit Company's Salem plant is analyzing overhead in order to determine appropriate drivers for use in flexoble budgeting. She decided to concentrate on the past 12 months since that time period was one in which there was little important change in technology, product lines, and so on. Data on overhead costs, number of machine houts, number of setupes, and number of purchase orders are in the following table Number Number of Overhead Machine of Purchase Month Costs Hours Setups Orders January $ 32,296 1.000 20 216 February 31,550 930 18 250 March 36,280 1.100 21 April 36,667 1,050 23 270 36,790 1.110 22 285 June 37,800 3,200 OS 240 July 10,024 1.235 27 232 39,256 1.100 24 August 303 September 33,00 1,070 255 33,779 October 1.210 22 195 37,225 23 1.202 November 270 27,500 15 1.04 December 150 Total 5423,167 1346 260 2.971 20 Required: 1. Hamuresionin e mach hours number of student outchoudersdotter Previous Check My Work eBook Prattem Required: 1. Run a multiple regression equation using machine hours, number of setups, and number of purchase orders as independent variables. Prepare a flexible budget for overhead for the 12 months using the results of this regression equation (Round the regression coefficients to the nearest cent and predicted overhead to the nearest dollar) If there is no variance, enter "O" for the amount and select "NA" in the last column. Enter all your answers as positive amounts Month January February March Mul Company Flexible Budget for Overhead Predicted Overhead Actualovehead Variance 31.470 X 32,2967 $ 26 X Favorable 30,735 X 31.550 olx Favorable 34,789 X 14200 x Unfavorable 3597 X 3667 X Unfavorable 36,458 X 34.7007 o X Favorite 39 300 X Favorable 97.781 X 40024 X Unlavorable 39 256 X Unfavorable And May June JUN August Previous Chuck Hy work Submit A for Grading Do eBook Print Item 2. Now, suppose that the controller remembers that the factory throws two big parties each year, one for the 4th of July and the other for Christma Rerun the multiple regression with machine hours, number of setups, and number of purchase orders, and add a dummy variable called "Party." (Th variable takes the value one for months with a factory-sponsored party, and zero otherwise.) Prepare a flexible budget for the 12 months using the results of this regression, (Round the regression coefficients to the nearest cent and each predicted overhead amount to the nearest dollar.) If there is no variance, enter "0" for the amount and select "NA" in the last column. Enter all your answers as positive amounts. Muir Company Flexible Budget for Overhead Vanance Month Predicted Overhead Actual Overhead 326 X 12.296 Unfavorable Janwary 32.406 X Favorable 31.550 February 30,735 X Favorable X 347 3620 March Unfavorable 36,667 April Favorable 36.700 May Unfavorable Favorable 39.781 x Unfavorable 39.256 August Previous Owy War akeAssignment/take AssignmentMain.do?invoker=&takeAs eBook Print Item Flexible Budget, Multiple Regression The controller for Muir Company's Sales to concentrate on the past 12 months Data on overhead costs, number of mi Overhead Machir Month Costs Hour 1,06 9 1,1 1. May 1, January $ 32,296 February 31,550 March 36,280 April 36,867 36,790 June 37,800 July 40,024 August 39,256 September 33,800 October 33,779 November 37,225 December 27,500 Totals $423,167 1 1 Required: 1. Run a multiple regressione Check My Work Book PH Hexible Budget, Multiple Regression The controller for Male Company's Salem plant is analyzing overhead in order to determine appropriate drivers for use in flexible budgeting. She decided to concentrate on the past 12 months since that time period was one in which there was the important change in technology, product lines, and so on. Data on overhead costs, number of machine hours, number of setups, and number of purchase orders are in the following table Number of Machine Hours 1.000 Number of Purchase Orders 210 Setup 20 za 1,100 1.050 23 Overhead Months Costs January $32.296 February 31,550 March 36,280 Roll 36,667 MY 36.790 June 37.500 July 40.024 August 39,256 September 33.00 October 33.770 November 37,225 December 22.560 3423.10 1.17 1200 1,235 1.190 3.0 250 300 270 25 240 237 102 250 195 27 24 20 3,20 270 150 15 11.446 1. mulieren que using machine lumber of ups and number where we are se fut ford for the 12th the sation Cound the regression coefficient to the recent and red over to the there is another and in the other you He Company lei Budet for overload Aw Required: 1. Run a multiple regression equation using machine hours, number of setup and ruler of purchase orders an independentables. Pripare a fidia budod for ord for the 12 months in the touts of this regeesdon equation (Round the regression coefficients to the nearest cent and predicted overhead to the nearest dollar) If there is no variance, enter for the amount and select "NA" In the last column. Enter all your answers as positive amounts Month Hair Company Flexible Budget for Overhead Predicted Overhead Actual Overad Variance 3ATOX 32 2X travel Juary 20.335X 3. February X Lavorable 3 16700 X favorite 13 X SA V Lindaveeb Hav X 3510 xavara X 17.000 40 thlete ale 300 xvavene Favorabile October 13 . Favorable 411,147 Favorable Now, suppose that the controller remembers that the factory throns two big parties ach year color 00 the other one anber of setups, and trumber of purchase orders and add a dummy variable called "Party" (This beta the value one for months with a factory.sponsored party and are otherwise) Prepare a Xable budout for the 12 months in the results of this regro. (Round the regression coefidents to the cent and predicted overhead to the heart do) there is no variance, entre for the amount and select 'NA the last column your positive Mr Com Flexed for Overhead Month Predicted Over Ait Over 2.400 X 22 X January Unfavorable 30.735 x 31 February favorable March X Favorable 2007 3.62 nay cay Favorable Har 31. June Favor July 3701 Mogu D Favo vember De 36 Flexible Budget, Multiple Regression 300 The controller for Muit Company's Salem plant is analyzing overhead in order to determine appropriate drivers for use in flexoble budgeting. She decided to concentrate on the past 12 months since that time period was one in which there was little important change in technology, product lines, and so on. Data on overhead costs, number of machine houts, number of setupes, and number of purchase orders are in the following table Number Number of Overhead Machine of Purchase Month Costs Hours Setups Orders January $ 32,296 1.000 20 216 February 31,550 930 18 250 March 36,280 1.100 21 April 36,667 1,050 23 270 36,790 1.110 22 285 June 37,800 3,200 OS 240 July 10,024 1.235 27 232 39,256 1.100 24 August 303 September 33,00 1,070 255 33,779 October 1.210 22 195 37,225 23 1.202 November 270 27,500 15 1.04 December 150 Total 5423,167 1346 260 2.971 20 Required: 1. Hamuresionin e mach hours number of student outchoudersdotter Previous Check My Work eBook Prattem Required: 1. Run a multiple regression equation using machine hours, number of setups, and number of purchase orders as independent variables. Prepare a flexible budget for overhead for the 12 months using the results of this regression equation (Round the regression coefficients to the nearest cent and predicted overhead to the nearest dollar) If there is no variance, enter "O" for the amount and select "NA" in the last column. Enter all your answers as positive amounts Month January February March Mul Company Flexible Budget for Overhead Predicted Overhead Actualovehead Variance 31.470 X 32,2967 $ 26 X Favorable 30,735 X 31.550 olx Favorable 34,789 X 14200 x Unfavorable 3597 X 3667 X Unfavorable 36,458 X 34.7007 o X Favorite 39 300 X Favorable 97.781 X 40024 X Unlavorable 39 256 X Unfavorable And May June JUN August Previous Chuck Hy work Submit A for Grading Do eBook Print Item 2. Now, suppose that the controller remembers that the factory throws two big parties each year, one for the 4th of July and the other for Christma Rerun the multiple regression with machine hours, number of setups, and number of purchase orders, and add a dummy variable called "Party." (Th variable takes the value one for months with a factory-sponsored party, and zero otherwise.) Prepare a flexible budget for the 12 months using the results of this regression, (Round the regression coefficients to the nearest cent and each predicted overhead amount to the nearest dollar.) If there is no variance, enter "0" for the amount and select "NA" in the last column. Enter all your answers as positive amounts. Muir Company Flexible Budget for Overhead Vanance Month Predicted Overhead Actual Overhead 326 X 12.296 Unfavorable Janwary 32.406 X Favorable 31.550 February 30,735 X Favorable X 347 3620 March Unfavorable 36,667 April Favorable 36.700 May Unfavorable Favorable 39.781 x Unfavorable 39.256 August Previous Owy War akeAssignment/take AssignmentMain.do?invoker=&takeAs eBook Print Item Flexible Budget, Multiple Regression The controller for Muir Company's Sales to concentrate on the past 12 months Data on overhead costs, number of mi Overhead Machir Month Costs Hour 1,06 9 1,1 1. May 1, January $ 32,296 February 31,550 March 36,280 April 36,867 36,790 June 37,800 July 40,024 August 39,256 September 33,800 October 33,779 November 37,225 December 27,500 Totals $423,167 1 1 Required: 1. Run a multiple regressione Check My Work