Profit RD Example
Sheet1
Run # 1 |
|
Profit vs R & D |
Time |
R&D |
Profit |
|
SUMMARY OUTPUT |
1 |
2 |
20 |
2 |
3 |
25 |
|
Regression Statistics |
3 |
5 |
34 |
|
Multiple R |
0.9090909091 |
4 |
4 |
30 |
|
R Square |
0.826446281 |
5 |
11 |
40 |
|
Adjusted R Square |
0.7830578512 |
|
Ycap = 20 + 2 (R&D) |
6 |
5 |
31 |
|
Standard Error |
3.2403703492 |
|
|
|
|
Observations |
6 |
|
|
|
|
ANOVA |
|
|
critical F |
7.7086474222 |
21.1976895844 |
|
|
|
|
|
df |
SS |
MS |
F |
p value |
|
|
|
|
Regression |
1 |
200 |
200 |
19.0476190476 |
0.0120210368 |
|
|
|
|
Residual |
4 |
42 |
10.5 |
|
|
|
|
Total |
5 |
242 |
|
|
|
|
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
|
|
|
Intercept |
20 |
2.6457513111 |
7.5592894602 |
0.0016412894 |
12.6542167228 |
27.3457832772 |
12.6542167228 |
27.3457832772 |
|
|
|
|
R&D |
2 |
0.4582575695 |
4.3643578047 |
0.0120210368 |
0.7276730143 |
3.2723269857 |
0.7276730143 |
3.2723269857 |
|
|
|
|
|
|
critical T |
2.7764451052 |
Run # 2 |
|
Profit vs Time |
|
|
|
|
SUMMARY OUTPUT |
|
|
|
|
Regression Statistics |
|
|
|
|
Multiple R |
0.7375891678 |
|
|
|
|
R Square |
0.5440377804 |
|
|
|
|
Adjusted R Square |
0.4300472255 |
|
|
|
|
Standard Error |
5.252210419 |
|
|
|
|
Observations |
6 |
|
|
|
|
ANOVA |
|
|
|
|
|
df |
SS |
MS |
F |
Significance F |
|
|
|
|
Regression |
1 |
131.6571428571 |
131.6571428571 |
4.7726566546 |
0.0942544352 |
|
|
|
|
Residual |
4 |
110.3428571429 |
27.5857142857 |
|
|
|
|
Total |
5 |
242 |
|
|
|
|
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
|
|
|
Intercept |
20.4 |
4.8895418034 |
4.1721700765 |
0.0140065996 |
6.8244555932 |
33.9755444068 |
6.8244555932 |
33.9755444068 |
|
|
|
|
Time |
2.7428571429 |
1.255518431 |
2.1846410814 |
0.0942544352 |
-0.7430208594 |
6.2287351451 |
-0.7430208594 |
6.2287351451 |
|
|
|
|
RESIDUAL OUTPUT |
|
|
|
|
Observation |
Predicted Profit |
Residuals |
|
|
|
|
1 |
23.1428571429 |
-3.1428571429 |
|
|
|
|
2 |
25.8857142857 |
-0.8857142857 |
|
|
|
|
3 |
28.6285714286 |
5.3714285714 |
|
|
|
|
4 |
31.3714285714 |
-1.3714285714 |
|
|
|
|
5 |
34.1142857143 |
5.8857142857 |
|
|
|
|
6 |
36.8571428571 |
-5.8571428571 |
Run # 3 |
|
Profit vs Time and R& D |
|
|
|
|
SUMMARY OUTPUT |
|
|
|
|
Regression Statistics |
|
|
|
|
Multiple R |
0.9309366705 |
|
|
|
|
R Square |
0.8666430845 |
|
|
|
|
Adjusted R Square |
0.7777384742 |
|
|
|
|
Standard Error |
3.279856376 |
|
|
|
|
Observations |
6 |
|
|
|
|
ANOVA |
|
|
|
9.5520944959 |
|
|
|
|
|
df |
SS |
MS |
F |
Significance F |
|
|
|
|
Regression |
2 |
209.7276264591 |
104.8638132296 |
9.7480106101 |
0.0486993666 |
|
|
|
|
Residual |
3 |
32.2723735409 |
10.757457847 |
|
|
|
|
Total |
5 |
242 |
|
|
|
|
|
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
|
|
|
Intercept |
18.4435797665 |
3.138556766 |
5.8764525041 |
0.0098311971 |
8.4552913828 |
28.4318681503 |
8.4552913828 |
28.4318681503 |
|
|
|
|
Time |
0.9727626459 |
1.0229590978 |
0.9509301476 |
0.4117941742 |
-2.2827497555 |
4.2282750473 |
-2.2827497555 |
4.2282750473 |
|
|
|
|
R&D |
1.6303501946 |
0.6051907638 |
2.693944277 |
0.0741656224 |
-0.2956369156 |
3.5563373047 |
-0.2956369156 |
3.5563373047 |
|
|
|
|
|
|
|
3.1824463053 |
|
|
|
|
RESIDUAL OUTPUT |
|
|
|
|
Observation |
Predicted Profit |
Residuals |
|
|
|
|
1 |
22.6770428016 |
-2.6770428016 |
|
|
|
|
2 |
25.280155642 |
-0.280155642 |
|
|
|
|
3 |
29.513618677 |
4.486381323 |
|
|
|
|
4 |
28.8560311284 |
1.1439688716 |
|
|
|
|
5 |
41.2412451362 |
-1.2412451362 |
|
|
|
|
6 |
32.4319066148 |
-1.4319066148 |