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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | DURAND Jacky | 76 |
| 3 | HEULOT Stéphane | 69 |
| 4 | JALABERT Laurent | 66 |
| 5 | MONCASSIN Frédéric | 73 |
| 6 | STEPHENS Neil | 65 |
| 7 | GARMENDIA Aitor | 68 |
| 8 | ROUS Didier | 70 |
| 9 | BRASI Rossano | 67 |
| 10 | MOREAU Christophe | 71 |