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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Pollentier
1
62 kgVan Impe
6
59 kgMerckx
9
74 kgGodefroot
11
73 kgBracke
18
79 kg
1
62 kgVan Impe
6
59 kgMerckx
9
74 kgGodefroot
11
73 kgBracke
18
79 kg
Weight (KG) →
Result →
79
59
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 6 | VAN IMPE Lucien | 59 |
| 9 | MERCKX Eddy | 74 |
| 11 | GODEFROOT Walter | 73 |
| 18 | BRACKE Ferdinand | 79 |