00:01
For the first part of this question, want to look into the linear regression that actually fits the data that we've been given.
00:07
So recall that this linear regression would be in the form of y is equal to mx plus c, where m is representing the gradient and c represents the y intercept, where that straight line is going to be cutting across the y x.
00:23
So looking at the information that we have, if we use the list square method, the gradient form, the information that we've been given is 7 .6 and the y intercept is 1246 .67 and this gives us an equation.
00:38
Y is going to be equal to 1246 .67 plus 7 .6x.
00:48
This is the linear regression representing the information that we've been given.
00:53
Then moving on to the next part we are looking at 7 .6 interest.
00:59
Then for part c, if we look at the sum of squares due to r, looking at sse, this is equal to 23, 33, 3 .33.
01:13
Then the total sum of squares sst, this would be equal to 5, 648, 3, 3, 3 .33 .3 .3...