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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUPONT Timothy | 72 |
| 3 | VIVIANI Attilio | 69 |
| 5 | MULUBRHAN Henok | 60 |
| 7 | MUDGWAY Luke | 65 |
| 8 | FERNÁNDEZ Miguel Ángel | 78 |
| 9 | PAREDES Wilmar | 66 |
| 11 | RASENBERG Martijn | 78 |
| 12 | LÓPEZ DE ABETXUKO Andoni | 74 |
| 15 | VERWILT Mauro | 76 |
| 17 | SMIT Willie | 72 |
| 18 | LUNDER Eirik | 78 |
| 19 | CHAIYASOMBAT Thanakhan | 58 |
| 21 | DREGE André | 78 |
| 22 | ZAMBELLI Samuele | 70 |