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 = 0.4 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | RATHE Jacob | 74 |
| 11 | BENHAMOUDA Mehdi | 64 |
| 23 | CALABRIA Fabio | 55 |
| 25 | BICKMORE Cade | 74 |
| 28 | MCGEOUGH Cormac | 76 |
| 31 | COWLEY Brendan | 56 |
| 32 | BURKE Jack | 67 |
| 37 | PALAMAREK Ethan | 61 |
| 40 | ANDERSON Ryan | 66 |
| 48 | WILLIAMS Christopher | 75 |
| 55 | ROTH Ryan | 70 |
| 57 | DAL-CIN Matteo | 77 |
| 59 | CLANCY Stephen | 63 |
| 60 | MUDGWAY Luke | 65 |
| 68 | CONLY Lukas | 63 |
| 80 | JAMIESON Adam | 75 |