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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MUDGWAY Luke | 65 |
| 4 | GRANIGAN Noah | 76 |
| 5 | HAIDET Lance | 59 |
| 10 | HOEHN Alex | 63 |
| 12 | SCHUNK Conor | 65 |
| 15 | GERVAIS Laurent | 72 |
| 17 | IRVINE Declan | 75 |
| 19 | PALAMAREK Ethan | 61 |
| 21 | STITES Tyler | 60 |
| 22 | BAUSBACHER Evan | 59 |
| 27 | CÔTÉ Pier-André | 74 |
| 30 | CLOUSE Evan | 64 |