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 = -0.9 * weight + 96
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROTH Ryan | 70 |
| 17 | VANDALE Danick | 63 |
| 18 | CÔTÉ Pier-André | 74 |
| 29 | CONLY Lukas | 63 |
| 30 | BURKE Jack | 67 |
| 46 | GREENBERG Cory | 72 |
| 47 | GEE Derek | 72 |
| 50 | FLAUTT Oliver | 68 |
| 61 | ROUTLEY Will | 69 |
| 65 | BOILY David | 60 |