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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHEEHAN Riley | 69 |
| 2 | LÓPEZ Miguel Ángel | 59 |
| 2 | STITES Tyler | 60 |
| 5 | GRANIGAN Noah | 76 |
| 7 | SEVILLA Óscar | 62 |
| 13 | MURPHY Kyle | 67 |
| 14 | WILLIAMS Tyler | 73 |
| 15 | BICKMORE Cade | 74 |
| 18 | HENAO Sergio | 61 |
| 21 | LANGE Colby | 72 |