00:01
Hello students, let's say y is our dependent variable and x is our independent variable.
00:07
So y is equal to 5 .4 plus x or we can say 1x.
00:14
Now sample size is given as 5 and r that is our correlation coefficient is 0 .7574.
00:25
R square will be equal to 0 .5737.
00:32
Now to estimate the standard estimate of error standard deviation, estimate of error standard deviation is 6 .8605.
00:45
Now for parameters of intercept and slope, estimate is 5 .4 for intercept and 1 for slope.
01:03
Standard error is for intercept 5 .846 and for our slope it's 0 .4977.
01:22
Degree of freedom is 3 for each.
01:25
So t -static is 0 .9238 for intercept and for slope it's 2 .009.
01:38
P -value that is our mass distribution is 0 .4238 for intercept and for slope it's 0 .1381.
01:48
Now analysis of variance of regression model.
01:53
For model degree of freedom is 1.
01:56
For error degree of freedom is 1 again.
01:59
So our total will be 4.
02:02
Ss is 109 for model, error is 4 .12 and total is 23112...