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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCARSELLI Leonardo | 67 |
| 3 | ROUX Anthony | 73 |
| 5 | AUGÉ Stéphane | 65 |
| 6 | VANDENBERGH Stijn | 86 |
| 7 | PATANCHON Fabien | 69 |
| 9 | MARTIAS Rony | 71 |
| 11 | VANLANDSCHOOT James | 67 |
| 12 | RAST Grégory | 80 |
| 13 | VERBIST Evert | 73 |
| 14 | GÉRARD Arnaud | 70 |
| 15 | STANNARD Ian | 83 |
| 16 | DAVIS Allan | 73 |
| 17 | FÉDRIGO Pierrick | 66 |
| 18 | OMLOOP Geert | 78 |
| 19 | FRIEDMAN Michael | 82 |