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 = 0.6 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 2 | INDURÁIN Miguel | 76 |
| 3 | ROMINGER Tony | 65 |
| 4 | MAURI Melchor | 68 |
| 7 | BAFFI Adriano | 70 |
| 8 | ZÜLLE Alex | 72 |
| 10 | ZBERG Beat | 72 |
| 12 | ARMSTRONG Lance | 72 |
| 14 | CORDES Tom | 70 |
| 15 | HODGE Stephen | 74 |
| 16 | CASERO Ángel Luis | 72 |