00:01
Hello students in this question the data regarding the predicting sad math score from verbal score is given.
00:15
So in the first question it is asked to find the least square regression line for predicting math sad score from verbal sad score.
00:37
So the equation is sat score equal to 185 .77 plus 0 .619 sat verbal.
00:59
And next here the null hypothesis is that there is no relationship between math sad score and and verbal sad score.
01:29
That is, the regression model is not significant.
01:33
Versus the alternative hypothesis is h1, that is, there is relationship between math sad score and verbal sad score.
02:02
That is, regression model is significant.
02:08
So for this equation the assumption conditions necessary to perform the test.
02:21
First one, the data must be normally distributed.
02:35
And second one, the scatter plot must be roughly linear and free of any outliers.
02:54
The residual must show a random pattern and the samples must be representative of population...