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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | EWAN Caleb | 69 |
| 3 | GAVIRIA Fernando | 71 |
| 4 | CULLAIGH Gabriel | 78 |
| 5 | ROELANDTS Jürgen | 78 |
| 6 | PASQUALON Andrea | 75 |
| 7 | HAYTER Ethan | 70 |
| 8 | SIMION Paolo | 79 |
| 9 | ALBANESE Vincenzo | 70 |
| 10 | POELS Wout | 66 |
| 11 | CARDIS Romain | 72 |
| 12 | MODOLO Sacha | 67 |
| 13 | THEUNS Edward | 72 |
| 14 | SÜTTERLIN Jasha | 78 |
| 15 | THWAITES Scott | 71 |