In: Statistics and Probability
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
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!