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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMBROWSKI Joe | 68 |
| 2 | MANNION Gavin | 58 |
| 4 | BENNETT George | 58 |
| 5 | BELTRÁN Edward | 59 |
| 6 | MOSER Moreno | 64 |
| 7 | ARU Fabio | 63 |
| 8 | PREIDLER Georg | 68 |
| 9 | PHINNEY Taylor | 82 |
| 10 | HOULE Hugo | 72 |
| 12 | ORAM James | 68 |
| 13 | MORTON Lachlan | 62 |