Regression
|
Cost |
Sales |
Orders |
|
52.95 |
386 |
4015 |
|
71.66 |
446 |
3806 |
|
85.58 |
512 |
5309 |
|
63.69 |
401 |
4262 |
|
72.81 |
457 |
4296 |
|
68.44 |
458 |
4097 |
|
52.46 |
301 |
3213 |
|
70.77 |
484 |
4809 |
|
82.03 |
517 |
5237 |
|
74.39 |
503 |
4732 |
|
70.84 |
535 |
4413 |
|
54.08 |
353 |
2921 |
|
62.98 |
372 |
3977 |
|
72.3 |
328 |
4428 |
|
58.99 |
408 |
3964 |
|
79.38 |
491 |
4582 |
|
94.44 |
527 |
5582 |
|
59.74 |
444 |
3450 |
|
90.5 |
623 |
5079 |
|
93.24 |
596 |
5735 |
|
69.33 |
463 |
4269 |
|
53.71 |
389 |
3708 |
|
89.18 |
547 |
5387 |
|
66.8 |
415 |
4161 |
|
SUMMARY OUTPUT |
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
Regression Statistics |
|
|
|
|
|
|
|
|
Multiple R |
0.935914 |
|
|
|
|
|
|
|
|
R Square |
0.875936 |
|
|
|
|
|
|
|
|
Adjusted R Square |
0.86412 |
|
|
|
|
|
|
|
|
Standard Error |
4.766166 |
|
|
|
|
|
|
|
|
Observations |
24 |
|
|
|
|
|
|
|
|
|
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|
|
|
ANOVA |
|
|
|
|
|
|
|
|
|
|
df |
SS |
MS |
F |
Significance F |
|
|
|
|
Regression |
2 |
3368.087 |
1684.044 |
74.1336 |
3.04E-10 |
|
|
|
|
Residual |
21 |
477.043 |
22.71633 |
|
|
|
|
|
|
Total |
23 |
3845.13 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
Intercept |
-2.72825 |
6.15788 |
-0.44305 |
0.66226 |
-15.5343 |
10.07777 |
-15.5343 |
10.07777 |
|
Cost |
0.047114 |
0.020328 |
2.317693 |
0.030644 |
0.00484 |
0.089388 |
0.00484 |
0.089388 |
|
Orders |
0.011947 |
0.002249 |
5.313123 |
2.87E-05 |
0.007271 |
0.016623 |
0.007271 |
0.016623 |
Last Updated on 12/3/1999
By Vivian Lew