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 - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKSON Alison | 63 |
| 2 | BARIL Olivia | 56 |
| 3 | VAN DAM Sarah | 58 |
| 5 | MILETTE Laury | 52 |
| 6 | FRANCIS Jenaya | 56 |
| 7 | PÉLOQUIN Joséphine | 55 |
| 9 | KIRCHMANN Leah | 59 |
| 37 | COLES-LYSTER Maggie | 61 |
| 39 | POIDEVIN Sara | 56 |