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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALTON Jonas | 68 |
| 2 | LÓPEZ Ian | 64 |
| 3 | HAUG Kieran | 67 |
| 4 | HLADY Gavin | 65 |
| 5 | KELLEY Garin | 68 |
| 6 | MOORE Manu | 62 |
| 11 | RENAUD-TREMBLAY Sasha | 60 |
| 12 | NARRAWAY Nicholas | 73 |
| 14 | BOUCHARD Alexis | 61 |
| 17 | MCDONALD Brody | 65 |
| 21 | SHIPLEY Gabriel | 70 |