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A Multiple Regression Was Performed on a Sample of 16 y^\hat { y }

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A multiple regression was performed on a sample of 16 observations.The estimated equation is y^\hat { y } = 23.5 - 14.28x1 + 6.72x2 + 15.68x3.The standard errors for the coefficients are sb1 = 4.2, sb2 = 5.6, and sb3 = 2.8.For this model, SST = 3809.6 and SSR = 3285.4.

a.
Compute the appropriate t ratios.
b.
Test for the significance of β1, β2, and β3 at the 5% level of significance.
c.
Do you think any of the variables should be dropped from the model? Explain.
d.
Compute R2 and Ra2R _ { \mathrm { a } } ^ { 2 } . Interpret R2.
e.
Test the significance of the relationship among the variables at the 5% level of significance.

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a.
t1 = -3.4, t2 = 1.2, t3 = 5.6
b.
t.025 = 2...

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