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Suppose you fit the first rder mu ple egression model y = po + β1x1 + a. Test Ho βι-o against h, β1 , 0 Use α-D 05 b. Find a

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Answer #1

a) To test Но : 31-0 against H_1:\beta_1 \neq 0

Here,

\hat{\beta_1} = 1.19, SE(\hat{\beta_1}) = 0.23, n = 25

The test statistic can be written as

52. SE(1 which under H0 follows a t distribution with n-3 df.

We reject H0 at 5% level of significance if P-value < 0.05

Now,

The value of the test statistic t_{obs} = 5.17391

and P-value =

P(|t_{n-3}|>t_{obs}) =P(|t_{22}|> 5.17391) = 2*P(t_{22}>5.17391) = 2*(1 - 0.999983) = 0.000034

Since P-value < 0.05, so we reject the null hypothesis. There is enough evidence to support the alternative hypothesis.

b) a 99% confidence interval for \beta_2

(β2-t0.005,n-3 * SE(32), B2 + t0.005,n-3 * SE(32) )

=(1.3 - t_{0.005,22}*0.1, 1.3 + t_{0.005,22}*0.1)

=(1.3 - 2.81876*0.1, 1.3 + 2.81876*0.1)

=(0.792623,1.80738)

We are 99% confident that the true value of \beta_2 lies in the interval.

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