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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HAEDO Lucas Sebastián | 64 |
| 8 | JARAMILLO Daniel | 63 |
| 11 | GRANIGAN Noah | 76 |
| 13 | MUDGWAY Luke | 65 |
| 21 | CARMAN Ben | 66 |
| 22 | SCHUNK Conor | 65 |
| 24 | STITES Tyler | 60 |
| 26 | HOEHN Alex | 63 |
| 28 | ACEVEDO Janier | 63 |