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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELGADO Pedro | 64 |
| 1 | GARMENDIA Aitor | 68 |
| 2 | PAGNIN Roberto | 74 |
| 3 | BUGNO Gianni | 68 |
| 3 | SCHUR Jan | 73 |
| 3 | GOTTI Ivan | 65 |
| 4 | ELLIOTT Malcolm | 76 |
| 4 | UGRUMOV Piotr | 58 |
| 5 | ESCARTÍN Fernando | 61 |
| 5 | DOMÍNGUEZ Manuel Jorge | 67 |
| 6 | LLANERAS Juan | 65 |
| 7 | MADOUAS Laurent | 70 |
| 7 | CHANTEUR Pascal | 62 |
| 9 | STEPHENS Neil | 65 |