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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLWOHL Willi | 67 |
| 2 | KERF Jerome | 71 |
| 3 | GROSU Eduard-Michael | 68 |
| 4 | LIEPIŅŠ Emīls | 67 |
| 5 | MCLAY Daniel | 72 |
| 7 | CAPIOT Amaury | 69 |
| 9 | SOBALLA Carl | 71 |
| 10 | GABBURO Davide | 63 |
| 11 | NEILANDS Krists | 69 |
| 13 | SISR František | 72 |
| 15 | PALUTA Michał | 65 |