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 = -0.9 * weight + 87
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 2 | KIENDYŚ Tomasz | 78 |
| 3 | KONDRUT Vitaliy | 79 |
| 4 | WYSS Marcel | 63 |
| 5 | HEGREBERG Morten | 72 |
| 7 | MARYCZ Jarosław | 69 |
| 10 | OOSTLANDER Sander | 78 |
| 17 | WALSLEBEN Philipp | 66 |
| 18 | CRAVEN Dan | 75 |
| 35 | KITTEL Marcel | 82 |
| 39 | DRUCKER Jempy | 75 |
| 43 | VAN LEIJEN Joost | 73 |
| 44 | SCHULTING Peter | 70 |
| 46 | KRIVTSOV Dmytro | 72 |
| 61 | ZANGERLE Joel | 63 |