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 = 11.3 * weight - 819
This means that on average for every extra kilogram weight a rider loses 11.3 positions in the result.
De Vlaeminck
1
74 kgGodefroot
2
73 kgVan Looy
7
73 kgSwerts
27
75 kgMerckx
31
74 kg
1
74 kgGodefroot
2
73 kgVan Looy
7
73 kgSwerts
27
75 kgMerckx
31
74 kg
Weight (KG) →
Result →
75
73
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | GODEFROOT Walter | 73 |
| 7 | VAN LOOY Rik | 73 |
| 27 | SWERTS Roger | 75 |
| 31 | MERCKX Eddy | 74 |