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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Planckaert
1
69 kgKelly
2
77 kgEarley
5
62 kgRoche
6
74 kgFignon
12
67 kgGayant
16
69 kg
1
69 kgKelly
2
77 kgEarley
5
62 kgRoche
6
74 kgFignon
12
67 kgGayant
16
69 kg
Weight (KG) →
Result →
77
62
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 2 | KELLY Sean | 77 |
| 5 | EARLEY Martin | 62 |
| 6 | ROCHE Stephen | 74 |
| 12 | FIGNON Laurent | 67 |
| 16 | GAYANT Martial | 69 |