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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pichot
3
72 kgLequatre
4
64 kgDion
9
65 kgVandborg
10
75 kgSchulze
12
70 kgValentin
14
69 kg
3
72 kgLequatre
4
64 kgDion
9
65 kgVandborg
10
75 kgSchulze
12
70 kgValentin
14
69 kg
Weight (KG) →
Result →
75
64
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PICHOT Alexandre | 72 |
| 4 | LEQUATRE Geoffroy | 64 |
| 9 | DION Renaud | 65 |
| 10 | VANDBORG Brian Bach | 75 |
| 12 | SCHULZE André | 70 |
| 14 | VALENTIN Tristan | 69 |