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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Mahďar
2
61 kgLéonien
9
58 kgZahiri
21
57 kgManizabayo
25
72 kgMugisha
39
58 kgSlootjes
43
70 kg
2
61 kgLéonien
9
58 kgZahiri
21
57 kgManizabayo
25
72 kgMugisha
39
58 kgSlootjes
43
70 kg
Weight (KG) →
Result →
72
57
2
43
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAHĎAR Martin | 61 |
| 9 | LÉONIEN Alexandre | 58 |
| 21 | ZAHIRI Abderrahim | 57 |
| 25 | MANIZABAYO Eric | 72 |
| 39 | MUGISHA Moise | 58 |
| 43 | SLOOTJES Jordi | 70 |