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 + 10
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Thevenot
3
69 kgDeltombe
13
66 kgVenturini
17
60 kgBenoot
18
72 kgWatson
20
72 kgEyskens
27
68 kg
3
69 kgDeltombe
13
66 kgVenturini
17
60 kgBenoot
18
72 kgWatson
20
72 kgEyskens
27
68 kg
Weight (KG) →
Result →
72
60
3
27
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | THEVENOT Guillaume | 69 |
| 13 | DELTOMBE Kevin | 66 |
| 17 | VENTURINI Clément | 60 |
| 18 | BENOOT Tiesj | 72 |
| 20 | WATSON Calvin | 72 |
| 27 | EYSKENS Jeroen | 68 |