00:03
The following data are passed that is x y.
00:18
So here we'll write in the column of x 1 in the column of y 1 in x 3 y is 2 in column of x will write 9 in column of y 5 and 7 4.
00:35
So the independent variable is x and the dependent variable is y.
00:58
So in order to compute the regression coefficients the following table needs to be used is so here we'll write x y x multiplied by y x square and y square and here the sum.
01:26
So in column of x 1 y is 1 x multiplied by y is 1 x square is 1 y square is 1 then 3 2 6 9 4 then 9 5 45 81 25 7 4 28 49 16 and the sum is 20 12.
02:02
80 140 and 46.
02:05
So based on the above table, the following is calculated sample mean is equal to 1 divided by n mean upper limit and lower limit.
02:17
I is equal to 1 x i which is equal to 20 divided by 4 is equal to 5 sample y is equal to 1 divided by n mean upper limit and lower limit.
02:31
I is equal to 1 y i is equal to 12 divided by 4 we get 3 so ss xx is equal to mean upper limit and lower limit.
02:42
I is equal to 1 x square.
02:45
Sorry x i square subtracted from 1 divided by n mean upper limit and lower limit.
02:53
I is equal to 1 x i whole square is equal to 140 subtracted from 20 square divided by 4 evaluating it...