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Studying for a final and I really can't figure out how to proceed beyond the first step of forming the linear model. Finding the matrix l for the null hypothesis lβ=0 is especially proving to be harder than I'd like to admit. Any help would be greatly appreciated. enter image description here

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  • $\begingroup$ Add the self-study tag. $\endgroup$ – Michael Chernick Dec 13 '17 at 2:25
  • $\begingroup$ Well, have you learned anything in the subject that you doing the final for? Did you derive a formula for $\hat\beta$ in the lectures? Why don't you write down $X$ in this case and then try forming $\hat\beta$ explicitly? The formula is very easy in this case. $\endgroup$ – Gordon Smyth Dec 13 '17 at 2:32
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The null hypothesis says all beta are zero except intercept : $$ \beta_1=\beta_2=\beta_3 = ... =\beta_n = 0 $$ The alternate hypothesis says : At least one of them is not zero $$ \beta_i \neq0$$

Essentially the hypothesis is telling you to compare the 2 models

Model A : $\quad\quad y = \beta_0 $

Model B : $\quad\quad y = \beta_0 + \beta_1 * x_1+ \beta_2 * x_2 + \beta_3 * x_3 + .... + \beta_n * x_n $

To compare 2 nested models, ( nested means model A is completely inside model B) we will use an F test.

$F_{calc} = \frac{\frac{SSE(A) - SSE(B)}{Difference \ in\ parameters\ of\ model\ A \ and\ model\ B }}{\frac{SSE(B)}{Num\ of\ data\ points-number\ of\ param\ in\ Model\ B}}$ Here $Difference \ in\ parameters\ of\ model\ A \ and\ model\ B = n$

Here $Number\ of\ data\ points = 4\ (i=1 .. 4)$

Here $Number\ of\ param\ in\ Model\ B = N$

Calculate these values and get the value of $F_{calc}$ and compare it to the value of $F_{table}$.

If the $F_{calc} > F_{table}$, then you reject null hypothesis, else accept it.

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    $\begingroup$ I think you have misunderstood the question. The OP does not have many predictor variables but only one taking on the values 1, 2, 3, 4. $\endgroup$ – mdewey Dec 27 '17 at 15:19
  • $\begingroup$ Yes, you are correct. I just gave a general understanding of the model with multiple predictors, to give him a bigger picture. $\endgroup$ – user3808268 Dec 27 '17 at 15:22

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