The following data set shows the entrance exam score (Verbal GMAT) for each of eight MBA students along with his or her grade point average (GPA) upon graduation. Calculate the slope and y-intercept for the linear regression equation for these data. GMAT 310 290 270 270 350 280 290 290 GPA 3.7 2.9 3.1 3.2 3.9 3.1 3.6 2.9
Solution:
We prepare a table.
X | Y | XY | X2 | Y2 |
310 | 3.7 | 1147 | 96100 | 13.69 |
290 | 2.9 | 841 | 84100 | 8.41 |
270 | 3.1 | 837 | 72900 | 9.61 |
270 | 3.2 | 864 | 72900 | 10.24 |
350 | 3.9 | 1365 | 122500 | 15.21 |
280 | 3.1 | 868 | 78400 | 9.61 |
290 | 3.6 | 1044 | 84100 | 12.96 |
290 | 2.9 | 841 | 84100 | 8.41 |
From this ,
n | 8 |
sum(XY) | 7807.00 |
sum(X) | 2350.00 |
sum(Y) | 26.40 |
sum(X2) | 695100.00 |
sum(Y2) | 88.14 |
Now , let b be the slope and a be the y intercept of the regression line.
Putting all values in this formula , we get
b = 0.0109
Now ,
Putting all values in this formula , we get
a = 0.1094
Answer :
Slope b = 0.0109
y intercept a = 0.1094
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