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 - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LOWE Trent | 64 |
| 3 | KILLEEN Liam | 65 |
| 5 | WOHLBERG Eric | 63 |
| 6 | PATE Danny | 73 |
| 19 | STEVIĆ Ivan | 66 |
| 25 | FRATTINI Davide | 63 |
| 30 | MEIER Christian | 61 |
| 39 | TUFT Svein | 77 |
| 41 | HAEDO Juan José | 73 |
| 46 | MENZIES Karl | 86 |
| 50 | CLINGER David | 77 |
| 51 | KING Edward | 78 |
| 55 | BEYER Chad | 63 |
| 57 | JONES Chris | 64 |
| 63 | TABERLAY Sid | 62 |
| 65 | POWERS Jeremy | 68 |