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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUNEGO Damiano | 58 |
| 2 | EVANS Cadel | 64 |
| 3 | KIŠERLOVSKI Robert | 72 |
| 4 | VISCONTI Giovanni | 63 |
| 5 | PFANNBERGER Christian | 63 |
| 6 | GIUNTI Massimo | 62 |
| 7 | SERPA José Rodolfo | 64 |
| 8 | IMPEY Daryl | 72 |
| 9 | NIEMIEC Przemysław | 62 |
| 10 | RUBIANO Miguel Angel | 58 |
| 11 | SZMYD Sylwester | 60 |
| 12 | PAOLINI Luca | 66 |
| 13 | SEROV Alexander | 77 |
| 14 | POSSONI Morris | 56 |
| 15 | CARUSO Giampaolo | 60 |