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 = 0.8 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MANNION Gavin | 58 |
| 4 | ACEVEDO Janier | 63 |
| 5 | MURPHY Kyle | 67 |
| 6 | JARAMILLO Daniel | 63 |
| 7 | EVANS Alexander | 63 |
| 8 | PICCOLI James | 65 |
| 9 | CLARKE Jonathan | 68 |
| 10 | ȚVETCOV Serghei | 69 |
| 14 | ROBERGE Adam | 72 |
| 18 | HOEHN Alex | 63 |
| 19 | MCGEOUGH Cormac | 76 |
| 20 | PRADO Ignacio de Jesús | 65 |
| 21 | NORRIS Lachlan | 67 |
| 22 | PATE Danny | 73 |
| 23 | SWIRBUL Keegan | 65 |