Statistical Techniques for Transportation Engineering

The regression equations are

$y=16+1.6x$

and

$x=-1+0.4y$

Example 6.10: For the following data, find the regression line of y on x:

x	1	2	3	4	5	8	10
y	9	8	10	12	14	16	15

Solution: We have

x	y	xy	x2
1	9	9	1
2	8	16	4
3	10	30	9
4	12	48	16
5	14	70	25
8	16	128	64
10	15	150	100

Total:

$\sum x_i=33,\sum y_i=84,\sum x_i^2=219,\sum x_i{y}_i=451$