Question

In: Statistics and Probability

A company has observed that there is a linear relationship between indirect labor expense (ILE) ,...

A company has observed that there is a linear relationship between indirect labor expense (ILE) , in dollars, and direct labor hours (DLH). Data for direct labor hours and indirect labor expense for 18 months are given in the file ILE_and_DLH.xlsx Treating ILE as the response variable, use regression to fit a straight line to all 18 data points. Based on your results, If direct labor hours (DLH) increases by one hour, the indirect labor expense (ILE), on average, increases by approximately how much? Place your answer, rounded to 2 decimal places, in the blank.

Do not use any stray punctuation marks or a dollar sign. For example, 34.56 would be a legitimate entry.

DLH(X) ILE(Y)

20 361

25    400

22    376

23    384

20    361

19    360

24    427.2

28    458.4

26    450.8

29    475.2

27 462.6

25 445

28 511

32 550.8

35 587.8

34 574.1

30 535.4

36 591.5

Solutions

Expert Solution

The following data are passed:

DLH ILE
20 361
25 400
22 376
23 384
20 361
19 360
24 427.2
28 458.4
26 450.8
29 475.2
27 462.6
25 445
28 511
32 550.8
35 587.8
34 574.1
30 535.4
36 591.5

The independent variable is DLH, and the dependent variable is ILE. In order to compute the regression coefficients, the following table needs to be used:

DLH ILE DLH*ILE DLH2 ILE2
20 361 7220 400 130321
25 400 10000 625 160000
22 376 8272 484 141376
23 384 8832 529 147456
20 361 7220 400 130321
19 360 6840 361 129600
24 427.2 10252.8 576 182499.84
28 458.4 12835.2 784 210130.56
26 450.8 11720.8 676 203220.64
29 475.2 13780.8 841 225815.04
27 462.6 12490.2 729 213998.76
25 445 11125 625 198025
28 511 14308 784 261121
32 550.8 17625.6 1024 303380.64
35 587.8 20573 1225 345508.84
34 574.1 19519.4 1156 329590.81
30 535.4 16062 900 286653.16
36 591.5 21294 1296 349872.25
Sum = 483 8311.8 229970.8 13415 3948890.54

Based on the above table, the following is calculated:

Therefore, based on the above calculations, the regression coefficients (the slope m, and the y-intercept n) are obtained as follows:

Therefore, we find that the regression equation is:

ILE = 52.182 + 15.264 * DLH

i.e.

y = 52.182 + 15.264 * x

Graphically:

When DLH increases by 1 hour then ILE increases by approx:

ILE = 52.182 + 15.264 * 1 = 67.446 ~ 67.45

Please upvote. Thanks!


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