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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
López de Munain
1
65 kgBoogerd
2
62 kgBelli
3
64 kgAebersold
4
58 kgBotero
5
75 kg
1
65 kgBoogerd
2
62 kgBelli
3
64 kgAebersold
4
58 kgBotero
5
75 kg
Weight (KG) →
Result →
75
58
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ DE MUNAIN Alberto | 65 |
| 2 | BOOGERD Michael | 62 |
| 3 | BELLI Wladimir | 64 |
| 4 | AEBERSOLD Niki | 58 |
| 5 | BOTERO Santiago | 75 |