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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINOKOUROV Alexandre | 68 |
| 2 | GABRIEL Frédéric | 60 |
| 3 | ANDREU Frankie | 77 |
| 4 | MILESI Marco | 78 |
| 5 | MOREAU Francis | 77 |
| 6 | BARTHE Stéphane | 65 |
| 7 | MONCASSIN Frédéric | 73 |
| 8 | AUS Lauri | 75 |
| 9 | HINCAPIE George | 83 |
| 11 | CAPELLE Christophe | 73 |
| 12 | SILOVS Juris | 79 |
| 14 | CRETSKENS Wilfried | 75 |
| 15 | CASPER Jimmy | 69 |