00:01
Okay, so i see that you need help with this question.
00:03
And so what i do is i like to set up my table this way.
00:07
So i have 3, 5, 15, 18, 20.
00:11
And then i have 58, 60, 45, 20, and 14.
00:20
And i want to find the sse first.
00:22
And to get that, i have to calculate my regression equation, which is given here.
00:32
And then what i'm going to do is i'm going to plug in.
00:36
So i'm going to find what my y value is if i plug like the 3 in.
00:43
So if i do negative 2 .57 times 3 and then add 70 .79 to that, i get 63 .07.
00:57
And the difference is, so y minus y, the residual is negative 5 .07.
01:05
And then if i square the y minus what the actual value is, it would be 25 minus.
01:19
I'm sorry, it would be 25 .71.
01:22
Then for the next one, i have 57 .92.
01:29
And that's 2 .08 and then 4 .31.
01:35
And then i have 32 .2.
01:39
And then that's 12 .8 and 163 .94.
01:46
Then i have 24 .48.
01:55
And that's negative 4 .48.
01:59
And that's 20 .05.
02:03
And then 19 .33 and then negative 5 .33.
02:10
And that's 28 .43.
02:14
And then when i add all of these up, that's going to be 242 .43.
02:21
And so that is what the sse equals...