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 + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 2 | LANG Sebastian | 77 |
| 3 | NUYENS Nick | 68 |
| 4 | CHICCHI Francesco | 76 |
| 5 | DUMOULIN Samuel | 57 |
| 6 | CANCELLARA Fabian | 80 |
| 7 | KRIVTSOV Yuriy | 72 |
| 9 | BAUMANN Eric | 72 |
| 10 | SENTJENS Roy | 75 |
| 11 | TRAKSEL Bobbie | 72 |
| 12 | RAST Grégory | 80 |