A key statistic that indicates reliability of the regression is: Multiple Choice 783.338. 6.777. 12 0 9964

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Author:Amos Gilat
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R Square
0.996423791
Adjusted R Square
0.99606617
Standard Error
47.0629563
Observations
12
ANOVA
df
MS
F
Regression
1
6171342.448 6171342 2786.257
Residual
10
22149.21856 2214.922
Total
11
6193491.667
Coefficients
Standard Error
t Stat
P-value
Intercept
783.7782188
68.34114772 11.46861 4.47E-07
Hours
6.777102456
0.12839066 52.78501 1.44E-13
A key statistic that indicates reliability of the regression is:
Multiple Choice
783.338.
O 6.777.
12.
09964
Transcribed Image Text:R Square 0.996423791 Adjusted R Square 0.99606617 Standard Error 47.0629563 Observations 12 ANOVA df MS F Regression 1 6171342.448 6171342 2786.257 Residual 10 22149.21856 2214.922 Total 11 6193491.667 Coefficients Standard Error t Stat P-value Intercept 783.7782188 68.34114772 11.46861 4.47E-07 Hours 6.777102456 0.12839066 52.78501 1.44E-13 A key statistic that indicates reliability of the regression is: Multiple Choice 783.338. O 6.777. 12. 09964
Burmer Co. has accumulated data to use in preparing its annual profit plan for the upcoming year.
The cost behavior pattern of the maintenance costs must be determined. Data regarding the
machine hours and maintenance costs for the last year and the results of the regression analysis
are as follows:
Maintenance Machine
Month
Cost
Hours
Jan.
$ 5,040
620
Feb.
3,600
420
Mar.
4,320
520
Apr.
3,380
390
Мay
5,220
650
June
3,550
400
July
3,640
5,360
430
Aug.
680
Sept.
5,110
640
Oct.
4,860
610
Nov.
3,960
460
Dec.
3,790
440
Sum
$51,830
6,260
Average
$ 4,319
522
A staff assistant has run regression analyses on the data and obtained the following output using
Excel:
REGRESSION ANALYSIS
Y (Dependent) Variable: Maintenance Cost
X (Independent) Variable: Maintenance Hours
Transcribed Image Text:Burmer Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. Data regarding the machine hours and maintenance costs for the last year and the results of the regression analysis are as follows: Maintenance Machine Month Cost Hours Jan. $ 5,040 620 Feb. 3,600 420 Mar. 4,320 520 Apr. 3,380 390 Мay 5,220 650 June 3,550 400 July 3,640 5,360 430 Aug. 680 Sept. 5,110 640 Oct. 4,860 610 Nov. 3,960 460 Dec. 3,790 440 Sum $51,830 6,260 Average $ 4,319 522 A staff assistant has run regression analyses on the data and obtained the following output using Excel: REGRESSION ANALYSIS Y (Dependent) Variable: Maintenance Cost X (Independent) Variable: Maintenance Hours
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