00:01
In this problem, we have been asked to determine the slope of the least squares regression line for the given data.
00:06
So recall the formula for the slope.
00:09
The slope m is going to be given by n times summation xy minus summation x times summation y divided by n times summation x squared minus the square of summation x.
00:25
And here n represents the number of data points.
00:29
So we're just going to plug in all of the values.
00:32
So if we have a look at the data, then how many data points do we have? we can see that we have a total of 16 data points, so n is 16.
00:40
With this, we add summation xy.
00:43
So we're going to add all of the values in the column xy.
00:47
So we have 673 .92 plus 649 .98 and so on.
00:52
And if we add all of these, we are going to end up with 11822 .79.
00:59
Then we subtract summation x...