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 + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOIVIN Guillaume | 78 |
| 2 | ANDERSON Ryan | 66 |
| 3 | ROTH Ryan | 70 |
| 4 | BELL Zach | 75 |
| 5 | PERRY Benjamin | 71 |
| 7 | CATAFORD Alexander | 70 |
| 8 | WOODS Michael | 62 |
| 9 | MEIER Christian | 61 |
| 10 | HOULE Hugo | 72 |
| 11 | DUCHESNE Antoine | 75 |
| 13 | ROUTLEY Will | 69 |
| 16 | PICCOLI James | 65 |
| 19 | DAL-CIN Matteo | 77 |
| 24 | BURKE Jack | 67 |
| 35 | VANDALE Danick | 63 |