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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | BROCHARD Laurent | 68 |
| 3 | ROMINGER Tony | 65 |
| 4 | INDURÁIN Miguel | 76 |
| 5 | MAURI Melchor | 68 |
| 6 | MADOUAS Laurent | 70 |
| 7 | GARMENDIA Aitor | 68 |
| 10 | JALABERT Laurent | 66 |
| 11 | HEULOT Stéphane | 69 |
| 12 | MARIE Thierry | 68 |
| 13 | DUFAUX Laurent | 60 |
| 14 | ESCARTÍN Fernando | 61 |
| 15 | MOREAU Christophe | 71 |
| 17 | RIIS Bjarne | 71 |
| 18 | BOUVARD Gilles | 70 |
| 19 | DURAND Jacky | 76 |
| 20 | VIRENQUE Richard | 65 |