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 = 10.1 * weight - 265
This means that on average for every extra kilogram weight a rider loses 10.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARMENDIA Aitor | 68 |
| 2 | BORTOLAMI Gianluca | 73 |
| 4 | MAURI Melchor | 68 |
| 5 | GAMITO Vitor | 66 |
| 6 | CUESTA Iñigo | 62 |
| 7 | DOMÍNGUEZ Juan Carlos | 64 |
| 8 | HONCHAR Serhiy | 67 |
| 9 | TCHMIL Andrei | 75 |
| 10 | PETITO Roberto | 78 |
| 990 | MARTINELLO Silvio | 71 |
| 990 | PLANCKAERT Jo | 70 |
| 990 | RODRIGUES Orlando Sergio | 68 |
| 990 | TAFI Andrea | 73 |
| 990 | MAZZANTI Luca | 64 |
| 990 | TETERIOUK Andrei | 72 |
| 990 | TONKOV Pavel | 70 |