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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JULIEN Matisse | 70 |
| 2 | RUSSELL Evan | 64 |
| 3 | STITES Tyler | 60 |
| 4 | GERVAIS Laurent | 72 |
| 6 | PLAMONDON Joel | 72 |
| 7 | MCGEOUGH Cormac | 76 |
| 8 | VALENTI Luke | 69 |
| 9 | DAL-CIN Matteo | 77 |
| 12 | MILES Carson | 64 |
| 17 | HOEHN Alex | 63 |
| 18 | KLEBAN Nick | 58 |
| 20 | OLIPHANT Aidan | 61 |
| 24 | BICKMORE Cade | 74 |