Worked solution
Recover two unknown observations from a fitted line
When and are known, the following data give the regression line of on as .
| 3 | |
| 2 | 2 |
| 3 | 6 |
| 6 | |
| 1 | 0 |
(i) Find .
(ii) Find .
(iii) Find and .
CJC · Lecture · Example 4
(i) Use the mean-point property
Answer
.
The line passes through . Since , substitute in the fitted line: . This completes the blank Student working; individual observations need not lie on the fitted line.
(ii) Use the regression gradient
Answer
.
The printed preliminary totals are , , and . Use the gradient :
Hence . The completed substitution and result are authored for the blank working space; the source prints the three preliminary totals.
(iii) Solve two equations
Answer
, .
From , , so . From ,
Subtract the first equation to obtain , then . This completes the Student blank. Do not set every observation equal to : regression minimises squared residuals and does not require every point to lie on the fitted line.
Solution notes
All three printed asks and data retained. Source supplies preliminary totals only; blank calculations and final answers are authored and independently verified. No Teacher copy or printed marks.