00:01
In the g part, we need to calculate here test statics.
00:18
So let's find out.
00:19
Answer will be as ms for regression will be equal to 616 .005 as per the question.
00:31
And ms for residue will be equal to ss of residual divided by the degree of rate to of residue.
00:47
So this will be calculated as 234 .522785 divided by 6 and therefore r value for ms for residue will be equal to 39 .08713 .13.
01:15
And therefore are f test static will be equal to ms for regression divided by ms for residue and when we divide we will obtain as 616 .005 divided by 39 .08713 and the value will be equal to 15 .776 after getting rounding off.
01:58
So our f test statics is here.
02:08
We are having our first solution for part g as 15 .76 here.
02:14
This is for answer for part g.
02:16
And now let's solve the next part, which is part h for the question.
02:23
So here the intercept, the result of the f test will state our conclusion as our null hypothesis.
02:38
H .o.
02:40
For regression model is not significant, is not significant.
02:58
And therefore, our alternative hypothesis, h .a.
03:01
For regression model, model is significant.
03:15
Significant.
03:17
And therefore, we can see our p value will be p of f, t.
03:26
F, t .f, for regression.
03:30
Comma, degree of freedom for residuals will be greater than f is test static.
03:46
So therefore we can write here our values of p of f1 .6 is greater than 15 .76.
03:59
So therefore our p value will be equal to 0 .007...