Nas corporation's manager in the stamping department have been studying the overhead cost and the relatioship machine hours. Data from the most recent 12 months Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: A severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Using the least square (regression) analysis, how much is the estimated overhead costs for 3,000 machine hours?
Nas corporation's manager in the stamping department have been studying the overhead cost and the relatioship machine hours. Data from the most recent 12 months Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: A severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Using the least square (regression) analysis, how much is the estimated overhead costs for 3,000 machine hours?
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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Nas corporation's manager in the stamping department have been studying the overhead cost
and the relatioship machine hours. Data from the most recent 12 months
Month Overhead Machine hours
January 5,030 2,730
February 1,600 600
March 7,210 3,403
April 4,560 2,200
May 6,880 3,411
June 6,520 2,586
July 6,230 3,364
August 5,570 2,411
September 7,728 3,960
October 5,810 2,897
November 4,580 2,207
December 6,010 2,864
The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: A severe flue outbreak and an electrical fire that disrupted operations for about 10 working days.
Using the least square (regression) analysis, how much is the estimated overhead costs for 3,000 machine hours?
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