In: Statistics and Probability
Find the accuracy of the linear predicted probability model. Write your answer using two decimal places in the format xx.xx%
STEM | GPA | SAT | White | Female | Asian |
1 | 2.90 | 1550 | 1 | 1 | 0 |
0 | 4.50 | 1360 | 0 | 0 | 0 |
0 | 4.40 | 1090 | 0 | 1 | 1 |
1 | 2.50 | 1520 | 1 | 0 | 0 |
0 | 4.10 | 1200 | 0 | 1 | 1 |
1 | 2.90 | 1490 | 1 | 0 | 0 |
0 | 4.30 | 1260 | 1 | 1 | 0 |
1 | 4.50 | 1430 | 0 | 0 | 0 |
0 | 4.40 | 1250 | 0 | 0 | 0 |
1 | 2.80 | 1590 | 1 | 0 | 0 |
1 | 3.10 | 1410 | 0 | 0 | 1 |
1 | 4.00 | 1230 | 1 | 0 | 0 |
0 | 2.50 | 1010 | 1 | 1 | 0 |
0 | 2.60 | 1240 | 0 | 1 | 0 |
0 | 4.10 | 1120 | 0 | 1 | 0 |
0 | 2.70 | 1100 | 0 | 0 | 1 |
0 | 4.00 | 1240 | 0 | 0 | 1 |
0 | 3.60 | 1510 | 0 | 1 | 0 |
0 | 2.70 | 1290 | 0 | 1 | 0 |
1 | 3.40 | 1580 | 0 | 1 | 0 |
1 | 3.60 | 1410 | 0 | 0 | 1 |
0 | 2.70 | 1050 | 0 | 1 | 1 |
1 | 4.00 | 1480 | 0 | 1 | 1 |
0 | 4.40 | 1090 | 0 | 0 | 0 |
1 | 3.20 | 1590 | 0 | 0 | 1 |
1 | 2.80 | 1530 | 1 | 1 | 0 |
1 | 4.20 | 1570 | 1 | 1 | 0 |
0 | 2.60 | 1050 | 0 | 1 | 0 |
0 | 3.80 | 1030 | 1 | 0 | 0 |
1 | 3.60 | 1330 | 0 | 0 | 1 |
1 | 2.50 | 1330 | 1 | 0 | 0 |
0 | 3.30 | 1350 | 1 | 1 | 0 |
1 | 2.50 | 1220 | 0 | 0 | 1 |
0 | 3.70 | 1270 | 0 | 1 | 1 |
1 | 4.10 | 1390 | 0 | 0 | 0 |
1 | 2.60 | 1560 | 0 | 1 | 1 |
0 | 4.30 | 1020 | 0 | 0 | 0 |
0 | 4.40 | 1050 | 0 | 0 | 1 |
0 | 2.90 | 1050 | 1 | 0 | 0 |
0 | 2.50 | 1050 | 1 | 1 | 0 |
0 | 3.90 | 1300 | 0 | 1 | 1 |
0 | 3.80 | 1390 | 0 | 1 | 0 |
1 | 2.70 | 1520 | 0 | 1 | 0 |
1 | 3.90 | 1440 | 0 | 1 | 1 |
0 | 3.90 | 1180 | 1 | 1 | 0 |
0 | 3.70 | 1440 | 1 | 1 | 0 |
0 | 3.40 | 1190 | 1 | 1 | 0 |
1 | 3.20 | 1380 | 1 | 0 | 0 |
0 | 2.80 | 1430 | 0 | 1 | 0 |
1 | 3.80 | 1270 | 1 | 0 | 0 |
0 | 3.60 | 1210 | 1 | 0 | 0 |
1 | 4.40 | 1470 | 0 | 1 | 0 |
1 | 2.90 | 1560 | 1 | 1 | 0 |
1 | 4.50 | 1500 | 0 | 0 | 0 |
1 | 3.80 | 1380 | 0 | 0 | 1 |
0 | 2.60 | 1020 | 0 | 1 | 0 |
0 | 4.40 | 1460 | 1 | 1 | 0 |
1 | 3.30 | 1550 | 1 | 1 | 0 |
1 | 4.00 | 1400 | 0 | 1 | 1 |
0 | 2.60 | 1200 | 0 | 0 | 0 |
1 | 4.10 | 1190 | 1 | 0 | 0 |
1 | 2.80 | 1410 | 1 | 0 | 0 |
0 | 4.50 | 1190 | 1 | 1 | 0 |
0 | 2.80 | 1010 | 0 | 1 | 0 |
0 | 3.00 | 1030 | 0 | 0 | 1 |
0 | 3.30 | 1080 | 1 | 0 | 0 |
1 | 3.80 | 1520 | 0 | 0 | 0 |
0 | 4.50 | 1380 | 1 | 1 | 0 |
0 | 3.90 | 1030 | 0 | 1 | 1 |
0 | 3.60 | 1240 | 0 | 1 | 1 |
1 | 3.60 | 1200 | 0 | 0 | 1 |
1 | 4.00 | 1320 | 0 | 1 | 0 |
0 | 4.30 | 1300 | 0 | 1 | 0 |
0 | 3.90 | 1070 | 0 | 1 | 0 |
1 | 3.30 | 1430 | 0 | 1 | 1 |
1 | 4.40 | 1400 | 0 | 0 | 1 |
0 | 2.70 | 1420 | 1 | 1 | 0 |
1 | 3.30 | 1310 | 1 | 1 | 0 |
1 | 3.90 | 1450 | 1 | 1 | 0 |
1 | 2.70 | 1470 | 0 | 0 | 0 |
1 | 3.40 | 1560 | 0 | 0 | 0 |
1 | 4.20 | 1550 | 0 | 0 | 0 |
1 | 3.70 | 1350 | 0 | 0 | 0 |
0 | 2.60 | 1240 | 0 | 0 | 1 |
0 | 2.90 | 1170 | 0 | 1 | 1 |
1 | 2.60 | 1370 | 0 | 0 | 0 |
1 | 3.00 | 1470 | 0 | 1 | 0 |
0 | 3.80 | 1030 | 1 | 1 | 0 |
1 | 3.10 | 1600 | 0 | 1 | 0 |
0 | 4.00 | 1170 | 0 | 1 | 1 |
0 | 4.10 | 1070 | 0 | 0 | 0 |
1 | 4.30 | 1420 | 0 | 0 | 0 |
0 | 3.90 | 1080 | 1 | 1 | 0 |
0 | 3.80 | 1250 | 0 | 0 | 1 |
0 | 3.80 | 1030 | 0 | 0 | 0 |
1 | 3.70 | 1210 | 0 | 0 | 1 |
0 | 4.30 | 1340 | 0 | 1 | 0 |
0 | 3.60 | 1340 | 0 | 1 | 0 |
0 | 4.40 | 1190 | 0 | 0 | 0 |
0 | 2.80 | 1120 | 1 | 1 | 0 |
The multiple linear regression output is obtained as
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.761486 | |||||||
R Square | 0.579861 | |||||||
Adjusted R Square | 0.557514 | |||||||
Standard Error | 0.333202 | |||||||
Observations | 100 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 5 | 14.40376 | 2.880752 | 25.94714 | 2.27E-16 | |||
Residual | 94 | 10.43624 | 0.111024 | |||||
Total | 99 | 24.84 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | -1.84172 | 0.32883 | -5.60081 | 2.11E-07 | -2.49462 | -1.18882 | -2.49462 | -1.18882 |
GPA | -0.05828 | 0.052515 | -1.10979 | 0.269922 | -0.16255 | 0.045989 | -0.16255 | 0.045989 |
SAT | 0.002001 | 0.000191 | 10.47626 | 1.79E-17 | 0.001622 | 0.00238 | 0.001622 | 0.00238 |
White | 0.080644 | 0.080424 | 1.00274 | 0.318561 | -0.07904 | 0.240327 | -0.07904 | 0.240327 |
Female | -0.30211 | 0.067396 | -4.48268 | 2.08E-05 | -0.43593 | -0.1683 | -0.43593 | -0.1683 |
Asian | 0.131925 | 0.083311 | 1.583529 | 0.11666 | -0.03349 | 0.297341 | -0.03349 | 0.297341 |
The measures of accuracy of the predicted model is given by R2 and adjusted R2. The value of R2 is obtained as 57.99% and the adjusted R2 is obtained as 55.75%
Hopefully this will help you. In case of any query, do comment. If you are satisfied with the answer, give it a like. Thanks.