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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THORNLEY Callum | 76 |
| 2 | WIGGINS Ben | 78 |
| 4 | GRINDLEY Sebastian | 72 |
| 7 | GOLLIKER Joshua | 67 |
| 8 | CHARLTON Josh | 82 |
| 10 | BUSH Jacob | 58 |
| 11 | WHITCHER Jamie | 71 |
| 14 | NISBET Cormac | 60 |
| 21 | DICK Ahron | 69 |
| 26 | LEWIS FOLLOWS Charlie | 67 |