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 = 0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURPHY John | 81 |
| 2 | MACANALLY Ryan | 68 |
| 5 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 7 | ANDERSON Ryan | 66 |
| 11 | CÔTÉ Pier-André | 74 |
| 14 | STEWART Campbell | 76 |
| 20 | GERVAIS Laurent | 72 |
| 28 | BURKE Jack | 67 |
| 38 | CONLY Lukas | 63 |
| 39 | GREENBERG Cory | 72 |
| 43 | ROTH Ryan | 70 |
| 46 | MENZIES Karl | 86 |
| 48 | WHITE Curtis | 70 |
| 70 | KENNETT Dylan | 75 |
| 76 | CAVANAGH Ryan | 72 |