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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lelangue
2
72 kgSwerts
5
75 kgGodefroot
13
73 kgMerckx
15
74 kgVan Looy
17
73 kg
2
72 kgSwerts
5
75 kgGodefroot
13
73 kgMerckx
15
74 kgVan Looy
17
73 kg
Weight (KG) →
Result →
75
72
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LELANGUE Robert | 72 |
| 5 | SWERTS Roger | 75 |
| 13 | GODEFROOT Walter | 73 |
| 15 | MERCKX Eddy | 74 |
| 17 | VAN LOOY Rik | 73 |