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 = 1.3 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Madiot
3
68 kgJourdan
7
64 kgLeMond
9
67 kgThaler
22
60 kgMartinez
41
80 kg
3
68 kgJourdan
7
64 kgLeMond
9
67 kgThaler
22
60 kgMartinez
41
80 kg
Weight (KG) →
Result →
80
60
3
41
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MADIOT Marc | 68 |
| 7 | JOURDAN Christian | 64 |
| 9 | LEMOND Greg | 67 |
| 22 | THALER Klaus-Peter | 60 |
| 41 | MARTINEZ Paulino | 80 |