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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMID Mauro | 70 |
| 2 | QUINN Sean | 67 |
| 3 | CAVAGNA Rémi | 78 |
| 5 | PLUIMERS Rick | 67 |
| 6 | SHAW James | 63 |
| 8 | BRAMBILLA Gianluca | 57 |
| 9 | TESFATSION Natnael | 60 |
| 10 | SCARONI Christian | 63 |
| 11 | GLOAG Thomas | 60 |
| 12 | GABBURO Davide | 63 |
| 13 | LIPOWITZ Florian | 68 |
| 14 | PADUN Mark | 67 |