00:01
So for question 1, so for q1 of this problem, we have the regression equation.
00:08
So we have y equals b0 plus b1 times x.
00:15
That's our regression equation.
00:18
And we have b1 is equal to the sample covariance, so s of x y over the sample, variance, so s of xx, and we have b not is equal to the sample mean of y minus b1 times the sample mean of x.
00:48
So let's plug in what we have.
00:51
So for b1, we have both of these values.
00:57
So we have 6 ,243 over 2 ,843.
01:08
Point four and this gives us an answer of 2 .2 .2166.
01:28
Now we can see what we want for y hat.
01:33
So y hat is equal to the sum of y over our n value.
01:41
So in this case our sum of y is given as 615 and we know that our n value is going to be 10.
01:51
So y hat is equal to 61 .5...