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 = 1.2 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Vlaemynck
3
63 kgOckers
5
61 kgMoerenhout
10
72 kgMiddelkamp
26
75 kgLambrichs
28
67 kg
3
63 kgOckers
5
61 kgMoerenhout
10
72 kgMiddelkamp
26
75 kgLambrichs
28
67 kg
Weight (KG) →
Result →
75
61
3
28
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VLAEMYNCK Lucien | 63 |
| 5 | OCKERS Stan | 61 |
| 10 | MOERENHOUT Jef | 72 |
| 26 | MIDDELKAMP Theo | 75 |
| 28 | LAMBRICHS Jan | 67 |