Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Clarke
1
63 kgJacobs
2
68 kgGoss
3
70 kgSulzberger
4
65 kgThomas
5
71 kgWalker
7
63 kgDocker
8
73 kgAvery
10
90 kg
1
63 kgJacobs
2
68 kgGoss
3
70 kgSulzberger
4
65 kgThomas
5
71 kgWalker
7
63 kgDocker
8
73 kgAvery
10
90 kg
Weight (KG) →
Result →
90
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLARKE Simon | 63 |
| 2 | JACOBS Pieter | 68 |
| 3 | GOSS Matthew | 70 |
| 4 | SULZBERGER Wesley | 65 |
| 5 | THOMAS Geraint | 71 |
| 7 | WALKER Johnnie | 63 |
| 8 | DOCKER Mitchell | 73 |
| 10 | AVERY Clinton | 90 |