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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASERO Rafael | 74 |
| 2 | BOOGERD Michael | 62 |
| 3 | CODOL Massimo | 67 |
| 4 | CAUCCHIOLI Pietro | 68 |
| 5 | OSA Aitor | 64 |
| 6 | ETXEBARRIA David | 55 |
| 7 | EVANS Cadel | 64 |
| 9 | BAYARRI Gonzalo | 67 |
| 10 | LÓPEZ DE MUNAIN Alberto | 65 |