Complete the missing information for this regression model. Note: N=24N=24.
Y^ | = | 31.418 | + | 2.144X1 | −- | 0.678X2 | + | here X3 | |
2.258 | 1.558 | 0.433 | 2.118 | Standard Errors | |||||
13.914 | 1.376 | -1.566 | here | t-ratios | |||||
here | here | 0.192 | P-values |
(Except for P-values, report all values accurate to 3 decimal places. For P-values, report accurate to 4 decimal places.)
Please answer the ones with "here" included thank you!
Complete the missing information for this regression model. Note: N=24
Y^ | = | 31.418 | + | 2.144X1 | −- | 0.678X2 | + | here (iv) X3 | |
2.258 | 1.558 | 0.433 | 2.118 | Standard Errors | |||||
13.914 | 1.376 | -1.566 | here (iii) | t-ratios | |||||
here (i) | here (ii) | 0.192 | P-values |
here (i)
Degree of freedom = N - k - 1 where k is number of predictors
= 24 - 3 - 1 = 20
P-value = 2 * P(t > |1.376|) = 2 * P(t > 1.376) = 0.1840
here (ii)
For degree of freedom = 23,
P-value = 2 * P(t > |-1.566|) = 2 * P(t > 1.566) = 0.1330
here (iii)
For two-sided tests,
2 * P(t > t-ratios) = 0.192
P(t > t-ratios) = 0.096
For df = 20,
t-ratios = 1.350
here (iv)
Coeff / Standard Errors = t-ratios
=> Coeff = Standard Errors * t-ratios = 2.118 * 1.350 = 2.859
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