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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sean | 66 |
| 4 | HOEHN Alex | 63 |
| 5 | EVANS Alexander | 63 |
| 6 | VILLALOBOS Luis | 66 |
| 9 | MUDGWAY Luke | 65 |
| 10 | GARRISON Ian | 76 |
| 11 | BERENDS Ethan | 61 |
| 13 | MCGEOUGH Cormac | 76 |
| 16 | ROBERGE Adam | 72 |
| 17 | STITES Tyler | 60 |
| 19 | ANDERSON Edward | 70 |
| 22 | CÔTÉ Pier-André | 74 |
| 27 | CONLY Lukas | 63 |