Answer:
The SSE for the data set is: 24
Explanation:
The data points are given by:
(3,6),(6,2),(9,10)
The data points are as follows:
when x=3 y=6
when x=6 y=2
and when x=9 y=10
Also, the line of best fit is as follows:
![y=(2)/(3)x+2](https://img.qammunity.org/2019/formulas/mathematics/high-school/1dommkbm4zr7m6x8nbth9viv86z83n2vie.png)
The SSE( sum of square for error ) is calculated as follows:
- Firstly we find the y-values from the line of best fit corresponding to x-values as in the data points.
- Now we find the residual corresponding to each x.
- ( i.e. difference between the actual y-value and y-value on the line of best fit)
- Square this difference quantities and add them up to get SSE of the data set.
- The y-values from the line of best fit
when x=3
from the line of best fit we have: y=4
when x=6
then y=6
when x=9
then y=8
- Hence, the residual value is:
when x=3 6-4= -2
when x=6 2-6= -4
and when x=9 10-8=2
Hence, the square of these difference quantity is:
(-2)²=4
(-4)²=16
and (2)²=4
Hence, the sum of these square quantity is: 4+16+4=24
Hence, the SSE of data is: 24