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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pollentier
1
62 kgDierickx
5
74 kgSchepers
13
60 kgVan Impe
15
59 kgGodefroot
16
73 kgDe Vlaeminck
17
74 kg
1
62 kgDierickx
5
74 kgSchepers
13
60 kgVan Impe
15
59 kgGodefroot
16
73 kgDe Vlaeminck
17
74 kg
Weight (KG) →
Result →
74
59
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 5 | DIERICKX André | 74 |
| 13 | SCHEPERS Eddy | 60 |
| 15 | VAN IMPE Lucien | 59 |
| 16 | GODEFROOT Walter | 73 |
| 17 | DE VLAEMINCK Roger | 74 |