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 = 2.2 * weight - 107
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Jaskulska
3
52 kgPaternoster
4
53 kgMejías
11
60 kgMilette
16
52 kgWebb Charland
39
60 kg
3
52 kgPaternoster
4
53 kgMejías
11
60 kgMilette
16
52 kgWebb Charland
39
60 kg
Weight (KG) →
Result →
60
52
3
39
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JASKULSKA Marta | 52 |
| 4 | PATERNOSTER Letizia | 53 |
| 11 | MEJÍAS Marlies | 60 |
| 16 | MILETTE Laury | 52 |
| 39 | WEBB CHARLAND Allyson | 60 |