a) To test against
Here,
The test statistic can be written as
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
and P-value =
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
We are 99% confident that the true value of lies in the interval.
Suppose you fit the first rder mu ple egression model y = po + β1x1 + a. Test Ho βι-o against h, ...
Section 12.3 Multiple Linear Regression: Number ONE: Statistical software was used to fit the model E(y)Pox1 2x2 to n 20 data points. Complete parts a through h EEB Click the icon to see the software output. Data Table The regression equation is Y-1738.93 - 384.54x1 517.39x2 Predictor Constant X1 X2 Coef 1738.93 - 384.54 -517.39 SE Coef 369.06 101.65 - 3.78 0.002 353.04 - 1.47 0.162 4.71 0.000 s-172.003 R-sq-55.0% R-sq(adj):49.0% Analysis of Variance MS Source Regression Residual Error 17...
Which of the following is the correct conclusion for the hypothesis test? A. Do not reject Ho; the data do not provide sufficient evidence to conclude that x is useful for predicting y. O B. Reject Ho; the data provide sufficient evidence to conclude that x is useful for predicting y. ° C. Reject Ho, the data do not provide sufficient evidence to conclude that x is useful for predicting y. D. Do not reject Ho;the data provide sufficient evidence...