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The owner of a moving company typically has his most experienced manager predict

ID: 3316677 • Letter: T

Question

The owner of a moving company typically has his most experienced manager predict the total number of labor hours that will be required to complete an upcoming move. In an effort to provide a more accurate method, the owner has decided to use the number of cubic feet moved as the independent variable and has collected data for 20 moves in which the travel time was an insignificant portion of the hours worked.

Cubic Feet Moved         Labor Hours

490                                       19.50

392                                       13.75

335                                       14.50

345                                       12.75

661                                       26.50

616                                       21.75

636                                       25.25

516                                       17.75

277                                         6.50

273                                       10.50

529                                       22.50

323                                       14.75

821                                       33.50

732                                       31.75

718                                       26.00

789                                       30.00

805                                       34.50

801                                       29.50

401                                       14.75

384                                       11.00

Assuming a linear relationship, use the least-squares method to determine the regression coefficients

b0 and b1. (round to three decimal places)

Explanation / Answer

The Regression eq is

y=a+bx

from Excel

y=-2.086+0.042* cubic feet

slope =b1=0.042

intercept=b0= -2.086

SUMMARY OUTPUT Regression Statistics Multiple R 0.970066 R Square 0.941028 Adjusted R Square 0.937751 Standard Error 2.108756 Observations 20 ANOVA df SS MS F Significance F Regression 1 1277.257 1277.257 287.2272 1.64E-12 Residual 18 80.04331 4.446851 Total 19 1357.3 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -2.08646 1.433153 -1.45585 0.162654 -5.0974 0.924483 -5.0974 0.924483 Cubic Feet 0.042303 0.002496 16.94778 1.64E-12 0.037059 0.047547 0.037059 0.047547
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