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 = 0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAEDO Juan José | 73 |
| 6 | LOWE Trent | 64 |
| 7 | KILLEEN Liam | 65 |
| 9 | WOHLBERG Eric | 63 |
| 10 | PATE Danny | 73 |
| 13 | CLINGER David | 77 |
| 17 | TUFT Svein | 77 |
| 25 | FRATTINI Davide | 63 |
| 26 | MEIER Christian | 61 |
| 33 | STEVIĆ Ivan | 66 |
| 50 | POWERS Jeremy | 68 |
| 52 | TABERLAY Sid | 62 |
| 56 | KING Edward | 78 |
| 57 | MENZIES Karl | 86 |
| 59 | JONES Chris | 64 |
| 64 | BEYER Chad | 63 |