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 = -0.7 * weight + 84
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTH Ryan | 70 |
| 3 | ZIRBEL Tom | 91 |
| 6 | GILBERT Martin | 73 |
| 15 | LAMBERT-LEMAY Simon | 81 |
| 20 | LEA Bobby | 77 |
| 27 | BLACKGROVE Heath | 65 |
| 32 | MILLER Barry | 54 |
| 36 | CLARKE Hilton | 70 |
| 51 | PARISIEN François | 64 |
| 52 | FRATTINI Davide | 63 |
| 54 | HAGA Chad | 71.5 |
| 55 | HEGYVARY Adrian | 78 |
| 61 | WHITE Bradley | 77 |