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 + 92
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Godefroot
1
73 kgPfenninger
6
70 kgDierickx
7
74 kgKuiper
9
69 kgPollentier
13
62 kgGaida
23
65 kg
1
73 kgPfenninger
6
70 kgDierickx
7
74 kgKuiper
9
69 kgPollentier
13
62 kgGaida
23
65 kg
Weight (KG) →
Result →
74
62
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODEFROOT Walter | 73 |
| 6 | PFENNINGER Louis | 70 |
| 7 | DIERICKX André | 74 |
| 9 | KUIPER Hennie | 69 |
| 13 | POLLENTIER Michel | 62 |
| 23 | GAIDA Alfred | 65 |