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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOGONDY Nicolas | 62 |
| 2 | CHAVANEL Sylvain | 73 |
| 3 | FLICKINGER Andy | 78 |
| 5 | PINEAU Jérôme | 65 |
| 6 | MCGEE Bradley | 72 |
| 7 | HALGAND Patrice | 67 |
| 8 | VASSEUR Cédric | 70 |
| 9 | COOKE Baden | 75 |
| 10 | GOUBERT Stéphane | 62 |
| 11 | BÉNÉTEAU Walter | 67 |
| 12 | MORIN Anthony | 79 |
| 14 | POILVET Benoît | 71 |
| 15 | COMMEYNE Davy | 70 |