In: Math
Hours | CuFt | #LargeFurniture | Elevator |
24.00 | 545 | 3 | Yes |
13.50 | 400 | 2 | Yes |
26.25 | 562 | 2 | No |
25.00 | 540 | 2 | No |
9.00 | 220 | 1 | Yes |
20.00 | 344 | 3 | Yes |
22.00 | 569 | 2 | Yes |
11.25 | 340 | 1 | Yes |
50.00 | 900 | 6 | Yes |
12.00 | 285 | 1 | Yes |
38.75 | 865 | 4 | Yes |
40.00 | 831 | 4 | Yes |
19.50 | 344 | 3 | Yes |
18.00 | 360 | 2 | Yes |
28.00 | 750 | 3 | Yes |
27.00 | 650 | 2 | Yes |
21.00 | 415 | 2 | No |
15.00 | 275 | 2 | Yes |
25.00 | 557 | 2 | Yes |
45.00 | 1028 | 5 | Yes |
29.00 | 793 | 4 | Yes |
21.00 | 523 | 3 | Yes |
22.00 | 564 | 3 | Yes |
16.50 | 312 | 2 | Yes |
37.00 | 757 | 3 | No |
32.00 | 600 | 3 | No |
34.00 | 796 | 3 | Yes |
25.00 | 577 | 3 | Yes |
31.00 | 500 | 4 | Yes |
24.00 | 695 | 3 | Yes |
40.00 | 1054 | 4 | Yes |
27.00 | 486 | 3 | Yes |
18.00 | 442 | 2 | Yes |
62.50 | 1249 | 5 | No |
53.75 | 995 | 6 | Yes |
79.50 | 1397 | 7 | No |
using excel >data analysis >regression we have
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.965783 | |||||||
R Square | 0.932737 | |||||||
Adjusted R Square | 0.92866 | |||||||
Standard Error | 3.979995 | |||||||
Observations | 36 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 2 | 7248.706 | 3624.353 | 228.8049 | 4.55E-20 | |||
Residual | 33 | 522.7319 | 15.84036 | |||||
Total | 35 | 7771.438 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | -3.91522 | 1.67379 | -2.33914 | 0.025532 | -7.32057 | -0.50987 | -7.32057 | -0.50987 |
CuFt | 0.031924 | 0.004604 | 6.933877 | 6.36E-08 | 0.022557 | 0.041291 | 0.022557 | 0.041291 |
large furniture | 4.222834 | 0.91419 | 4.619206 | 5.64E-05 | 2.362899 | 6.082768 | 2.362899 | 6.082768 |
Estimate the labor hours required for a household with a moving size of 2000 CuFt and 6 Large Furniture
Estimated the labor hours =-3.91522 +0.031924*2000+4.222834*6 = 85.269784
yes we can say that both the size of the move (CuFt) and number of large furniture moved are important considerations when estimating the total number of labor hours required. We can make this claim because p values are less than 0.01 and both are significant .
The FSTAT (F in the ANOVA Table) = 228.80, p-value (Sig.) is 0.00 = true
p-value for the slope coefficient of number of large furniture is 0.00 = True
p-value for the slope coefficient of the size of the mode (CuFt) is 0.00 = True
let moving volume (Cu Ft). = 0
5 large furniture to move
Estimated the labor hours =-3.91522 +0.031924*0+4.222834*5 =17.20
8 large furniture to move
Estimated the labor hours =-3.91522 +0.031924*0+4.222834*8 = 29.87
The average extra labor hours required for the second house = 29.87-17.20 =12.67