00:01
As per the question, we have to summarize spss output for the given problem.
00:10
We have given the spss output of the multiple linear regressions.
00:14
Let's denote some variable here.
00:17
Let's denote y for our dependent variable denoting the first year graduate gpa.
00:29
X1 denote the first independent variable for the program.
00:33
X2 denote the second independent variable for analytical or analytics subscore of gre.
00:52
X3 the third independent variable denoting for quantitative subscore of gre.
01:06
And finally the fourth one x4 the fourth independent variable denoting for the verbal subscore of gre.
01:19
With the given variables now, let's create a regression equation also.
01:37
A regression relation is a linear equation where y is dependent on x1, x2, x3, x4.
01:53
So it will be y is equal to b0 plus b1 x1 plus b2 x2 plus b3 x3 plus b4 x4.
02:08
Where b0 is simply constant or we can say the y -intercept.
02:15
B1 is the first intercept or the first slope or the coefficient of x1.
02:27
B2 is the second slope the coefficient of x2.
02:32
B3 is the third slope the coefficient of x3.
02:39
B4 is the fourth slope the coefficient of x4.
02:46
Now as per the given information in the table of the problem y will be minus 1 .215 minus 6 .561 e minus 0 to x1 plus 6 .749 exponent with 0 3 minus 0 3 plus 3 .374 exponent of minus 0 3 x3 minus 2 .353 exponent of minus 0 3 x4...