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 = 31.3 * weight - 1411
This means that on average for every extra kilogram weight a rider loses 31.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | EKIMOV Viatcheslav | 69 |
| 990 | ZBERG Beat | 72 |
| 990 | HODGE Stephen | 74 |
| 990 | ROMINGER Tony | 65 |
| 990 | ARMSTRONG Lance | 72 |
| 990 | ZÜLLE Alex | 72 |
| 990 | CORDES Tom | 70 |
| 990 | CASERO Ángel Luis | 72 |
| 990 | INDURÁIN Miguel | 76 |
| 990 | MAURI Melchor | 68 |