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 + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEEZER Tom | 76 |
| 3 | MOLLEMA Bauke | 64 |
| 5 | BATES Gene | 61 |
| 6 | AGIRRE Josu | 68 |
| 8 | KVACHUK Oleksandr | 68 |
| 9 | VEELERS Tom | 75 |
| 10 | SHPILEVSKY Boris | 78 |
| 11 | AMADOR Andrey | 73 |
| 13 | SESMA Daniel | 70 |
| 15 | SULZBERGER Wesley | 65 |
| 20 | KREDER Michel | 67 |