NAS Using the least square (regression) analysis, compute the fixed cost. Using the least square (regression) analysis, how much is the estimated overhead costs for 3,000 machine hours? 32 Nas corporation's manager in the stamping department have been studying the overhead costand the relatioship machine hours. Data from the most recent 12 monthsMonthOverheadMachine hoursJanuary5,0302,730FebruaryMarch1,6006007,2103,403April4,5602,200May6,8803,411June6,5202,586July6,2303,364August5,5702,411September7,7283,960October5,8102,897November4,5802,207December6,0102,864The manager of the department has requested a regression analysis ofthese two variables. The staff person performing the analysis decided toexclude February. She observed the volume of activity was very low forthat month because of two factors: Asevere flue outbreak and anelectrical fire that disrupted operations for about 10 working days.

The staff person decided to exclude the February data . Given Data : X = Overhead Y = Machine…

Answered: NAS Using the least square (regression)…

NAS Using the least square (regression) analysis, compute the fixed cost. Using the least square (regression) analysis, how much is the estimated overhead costs for 3,000 machine hours?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Question

NAS Using the least square (regression) analysis, compute the fixed cost. Using the least square (regression) analysis, how much is the estimated overhead costs for 3,000 machine hours?

32 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
March
1,600
600
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: Asevere flue outbreak and an
electrical fire that disrupted operations for about 10 working days.

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