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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANDERSON Ryan | 66 |
| 6 | ROTH Ryan | 70 |
| 7 | LOWNDES Jason | 82 |
| 11 | CATAFORD Alexander | 70 |
| 24 | ROUTLEY Will | 69 |
| 26 | VANDALE Danick | 63 |
| 33 | BURKE Jack | 67 |
| 35 | PERRY Benjamin | 71 |
| 36 | DAL-CIN Matteo | 77 |
| 47 | KOONTZ Grant | 80 |