Year 12s: what will be the first way you research your future options? >>

Comparing to linear regression models.

So I've been give two sets of data and I was told to build a regression model and decide on which one I think is the best model.

I've created the model and I've done:
Test for the population regression model (H0 : β1=0
H1 : β1≠ 0. In both cases I've rejected the null hypothesis).
Test for zero population correlation and (H0 : ρ=0
H1 : ρ≠ 0. H0 was accepted for both)
Testing the significance of R2: the F-test (H0 : R2=0
H1 : R2> 0 and accepted H0 for both).

So then I looked at the results and I saw that with my second regression model I was closer to accept and reject the first two hypothesis (that wasn't the case with the last test).
So I decided that my second model is the best model.

Have I been approaching this question correctly or have I been overcomplicating it.

Are there any other ways to approach it?

Reply 1

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