PLEASE PROVIDE STEP BY STEP AS WELL AS FINAL ANSWER
Solution:
From given data , we prepare a table.
X | Y | XY | X^2 | Y^2 |
0 | 8 | 0 | 0 | 64 |
3 | 2 | 6 | 9 | 4 |
4 | 6 | 24 | 16 | 36 |
5 | 9 | 45 | 25 | 81 |
12 | 12 | 144 | 144 | 144 |
n | 5 |
sum(XY) | 219.00 |
sum(X) | 24.00 |
sum(Y) | 37.00 |
sum(X^2) | 194.00 |
sum(Y^2) | 329.00 |
Numerator | 207.00 |
Denominator | 329.76 |
r | 0.6277 |
r square | 0.3940 |
Xbar(mean) | 4.8000 |
Ybar(mean) | 7.4000 |
SD(X) | 3.9699 |
SD(Y) | 3.3226 |
b | 0.5254 |
a | 4.8782 |
Now ,
Slope of the regression line is
b = 0.525
Now , y intercept of the line is
a = 4.878
The equation of the regression line is
= a + bx
Answer: = 4.878 + 0.525x
PLEASE PROVIDE STEP BY STEP AS WELL AS FINAL ANSWER Question 7 (Mandatory) (2 points) 7)...
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