In: Statistics and Probability
Using the following information, how would you write the models regression equation?
BirthRate | Literacy Rate | HDI |
29.0 | 73 | 44 |
19.5 | 88 | 96 |
14.1 | 93 | 99 |
21.2 | 80 | 81 |
13.7 | 95 | 99 |
17.8 | 59 | 70 |
14.5 | 77 | 94 |
12.4 | 92 | 99 |
28.7 | 61 | 36 |
13.0 | 93 | 99 |
11.0 | 92 | 99 |
27.8 | 44 | 35 |
43.6 | 62 | 41 |
20.4 | 91 | 95 |
10.7 | 94 | 99 |
28.0 | 75 | 82 |
26.6 | 84 | 86 |
43.3 | 41 | 42 |
41.8 | 48 | 63 |
30.4 | 68 | 94 |
12.6 | 85 | 99 |
33.4 | 67 | 70 |
11.2 | 98 | 93 |
13.2 | 92 | 99 |
15.2 | 94 | 99 |
using excel for multiple regression,step are
write data in excel>menu>data>data analysis>regression>enter required labels>ok
o/p obtained is
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.860599 | |||||||
R Square | 0.740631 | |||||||
Adjusted R Square | 0.717052 | |||||||
Standard Error | 12.39721 | |||||||
Observations | 25 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 2 | 9655.042 | 4827.521 | 31.4106 | 3.57E-07 | |||
Residual | 22 | 3381.198 | 153.6908 | |||||
Total | 24 | 13036.24 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 23.79861 | 28.57143 | 0.832951 | 0.413824 | -35.4549 | 83.05212 | -35.4549 | 83.05212 |
BirthRate | -0.52908 | 0.425905 | -1.24225 | 0.227224 | -1.41235 | 0.354192 | -1.41235 | 0.354192 |
Literacy Rate | 0.87907 | 0.259284 | 3.390368 | 0.002631 | 0.341347 | 1.416792 | 0.341347 | 1.416792 |
so, predicted HDI = 23.7986 -0.5291*birthrate + 0.8791*literacy rate