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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kelly
3
77 kgPlanckaert
4
69 kgEarley
7
62 kgWinnen
8
60 kgGayant
9
69 kgRoche
11
74 kg
3
77 kgPlanckaert
4
69 kgEarley
7
62 kgWinnen
8
60 kgGayant
9
69 kgRoche
11
74 kg
Weight (KG) →
Result →
77
60
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KELLY Sean | 77 |
| 4 | PLANCKAERT Eddy | 69 |
| 7 | EARLEY Martin | 62 |
| 8 | WINNEN Peter | 60 |
| 9 | GAYANT Martial | 69 |
| 11 | ROCHE Stephen | 74 |