00:01
So we have here the slope and also the intercept for the x and y, xy, x, x squared, and y squared.
00:10
So we have here the given summation, which is 2 ,425, 10.
00:19
We have 386 ,420.
00:25
We have 3 ,420.
00:26
We have 318 ,526.
00:28
And 526 and we have 753 ,611.
00:35
So the least square regression equation we have here y is equals to b subscriptal plus b1x so definitely we have 1 .24.
00:48
So the slope term is 1 .242 and the intercept that we have is 36 .1285.
00:58
So the least square regression equation, which is we have the correlation coefficient or pearson correlation is given by, this would be equal to 0 .584.
01:10
And there is a moderate positive correlation between x and y.
01:15
So the coefficient of determination, which is r raised to the power of 2, so this would be 0 .3401 or 0 .301, which is our r squared, is equal to the power of 2...