excel steps for regression
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SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.884925 | |||||||
R Square | 0.783092 | |||||||
Adjusted R Square | 0.73489 | |||||||
Standard Error | 24.16184 | |||||||
Observations | 12 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 2 | 18968.77 | 9484.383 | 16.2461 | 0.001031 | |||
Residual | 9 | 5254.15 | 583.7945 | |||||
Total | 11 | 24222.92 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 170.4518 | 79.22243 | 2.151559 | 0.059884 | -8.76182 | 349.6654 | -8.76182 | 349.6654 |
X1 | 3.121937 | 0.862962 | 3.617701 | 0.005592 | 1.169783 | 5.074092 | 1.169783 | 5.074092 |
X2 | -11.241 | 6.651015 | -1.69011 | 0.125268 | -26.2866 | 3.804688 | -26.2866 | 3.804688 |
from given o/p
a = 170.452
b1 = 3.122
b2 = -11.241
SSreg = 18968.767
SSres = 5254.150
F-ratio=16.246
p-value=0.001
s²res = 583.794
t1 =3.618
t2 = -1.690
This problem is based on problems 18.1, 18.2, 18.9, & 18.10 from Lomax & Hahs-Vaughn, 3rd ed. You are given the following data, where Xi (final percentage in history class) and X2 (number of...