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 = -0.5 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAY Benjamin | 68 |
| 2 | CHADWICK Glen Alan | 75 |
| 3 | ROLLIN Dominique | 83 |
| 4 | O'LOUGHLIN David | 68 |
| 5 | PATE Danny | 73 |
| 6 | PARISIEN François | 64 |
| 7 | TUFT Svein | 77 |
| 11 | MAMOS Philipp | 72 |
| 14 | RANGEL Hector Hugo | 63 |
| 15 | SCHILLINGER Andreas | 72 |
| 16 | LAGUTIN Sergey | 68 |
| 25 | LACOMBE Keven | 81 |
| 27 | WOHLBERG Eric | 63 |
| 28 | GILBERT Martin | 73 |
| 31 | MEIER Christian | 61 |
| 35 | POWER Ciarán | 68 |