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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLALOBOS Luis | 66 |
| 2 | BURKE Jack | 67 |
| 7 | HAIDET Lance | 59 |
| 8 | GRANIGAN Noah | 76 |
| 9 | MCGEOUGH Cormac | 76 |
| 10 | CEPEDA Jefferson Alexander | 56 |
| 12 | CEPEDA Jefferson Alveiro | 61 |
| 14 | CÔTÉ Pier-André | 74 |
| 16 | SWIRBUL Keegan | 65 |
| 18 | OWEN Logan | 67 |
| 19 | ROBERGE Adam | 72 |
| 26 | HECHT Gage | 72 |
| 28 | WHITE Curtis | 70 |
| 30 | CONLY Lukas | 63 |
| 32 | GERVAIS Laurent | 72 |