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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BATES Gene | 61 |
| 2 | O'LOUGHLIN David | 68 |
| 3 | BALIANI Fortunato | 66 |
| 4 | CONTADOR Alberto | 61 |
| 5 | DELAGE Mickaël | 70 |
| 6 | PORTAL Nicolas | 70 |
| 7 | VANSUMMEREN Johan | 79 |
| 8 | PAULINHO Sérgio Miguel | 64 |
| 10 | BODROGI László | 79 |
| 11 | SÁNCHEZ Luis León | 73 |
| 13 | WHITE Matthew | 72 |
| 14 | GERRANS Simon | 62 |
| 16 | KUYCKX Jan | 68 |
| 17 | JOLY Sébastien | 74 |
| 18 | EVANS Cadel | 64 |
| 19 | FINOT Frédéric | 65 |