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 = 0.7 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Gerrans
1
62 kgDrew
2
72 kgWilson
3
72 kgCarlström
5
70 kgRoberts
25
71 kg
1
62 kgDrew
2
72 kgWilson
3
72 kgCarlström
5
70 kgRoberts
25
71 kg
Weight (KG) →
Result →
72
62
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERRANS Simon | 62 |
| 2 | DREW Jamie Peter | 72 |
| 3 | WILSON Matthew | 72 |
| 5 | CARLSTRÖM Kjell | 70 |
| 25 | ROBERTS Luke | 71 |