x = Mathematics |
6 |
4 |
8 |
5 |
3.5 |
y = Chemistry |
6.5 |
4.5 |
7 |
5 |
4 |
X | Y | XY | X^2 | Y^2 |
6 | 6.5 | 39 | 36 | 42.25 |
4 | 4.5 | 18 | 16 | 20.25 |
8 | 7 | 56 | 64 | 49 |
5 | 5 | 25 | 25 | 25 |
3.5 | 4 | 14 | 12.25 | 16 |
From the above table and formula we get the value are as:
n | 5 |
sum(XY) | 152.00 |
sum(X) | 26.50 |
sum(Y) | 27.00 |
sum(X^2) | 153.25 |
sum(Y^2) | 152.50 |
Numerator | 44.50 |
Denominator | 46.30 |
r | 0.9611 |
the correlation coefficient. = 0.96
From the above table and formula we get the value are as:
n | 5 |
sum(XY) | 152.00 |
sum(X) | 26.50 |
sum(Y) | 27.00 |
sum(X^2) | 153.25 |
sum(Y^2) | 152.50 |
b | 0.6953 |
a | 1.7148 |
Regression line equation are as:
y = a + bx
y = 1.71 + 0.70x
when x = 7.5
y = 1.71 + 0.70 * 7.5
y = 6.96
Expected grade in chemistry = 6.96
when y = 7
y = 1.71 + 0.70x
7 = 1.71 + 0.70x
0.70x =6.71
x = 9.59
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