In: Math
A set of X-Y data pairs are
X | Y |
-0.14 | 0.69 |
1.91 | -0.25 |
2.33 | 2.29 |
3.68 | 3.72 |
3.51 | 3.23 |
4.09 | 4.76 |
6.27 | 7.88 |
6.32 | 8.59 |
7.42 | 8.73 |
8.72 | 8.45 |
10.35 | 10.67 |
10.09 | 11.29 |
Compute the intercept β0 regression coefficient for this data.
Solution :
X | Y | XY | X^2 | Y^2 |
-0.14 | 0.69 | -0.0966 | 0.0196 | 0.4761 |
1.91 | -0.25 | -0.4775 | 3.6481 | 0.0625 |
2.33 | 2.29 | 5.3357 | 5.4289 | 5.2441 |
3.68 | 3.72 | 13.6896 | 13.5424 | 13.8384 |
3.51 | 3.23 | 11.3373 | 12.3201 | 10.4329 |
4.09 | 4.76 | 19.4684 | 16.7281 | 22.6576 |
6.27 | 7.88 | 49.4076 | 39.3129 | 62.0944 |
6.32 | 8.59 | 54.2888 | 39.9424 | 73.7881 |
7.42 | 8.73 | 64.7766 | 55.0564 | 76.2129 |
8.72 | 8.45 | 73.684 | 76.0384 | 71.4025 |
10.35 | 10.67 | 110.4345 | 107.1225 | 113.8489 |
10.09 | 11.29 | 113.9161 | 101.8081 | 127.4641 |
n | 12 |
sum(XY) | 515.76 |
sum(X) | 64.55 |
sum(Y) | 70.05 |
sum(X^2) | 470.97 |
sum(Y^2) | 577.52 |
Numerator | 1667.45 |
Denominator | 1733.31 |
r | 0.9620 |
r square | 0.9254 |
Xbar(mean) | 5.3792 |
Ybar(mean) | 5.8375 |
SD(X) | 1.4296 |
SD(Y) | 1.7301 |
![]() |
1.1229 |
![]() |
-0.2029 |
0 = -0.2029