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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZAYEV Assan | 62 |
| 2 | FISCHER Murilo Antonio | 65 |
| 3 | COX Ryan | 62 |
| 4 | LOUDER Jeff | 73 |
| 5 | ASCANI Luca | 75 |
| 6 | MIZBANI Ghader | 67 |
| 7 | VORGANOV Eduard | 65 |
| 8 | MIZUROV Andrey | 68 |
| 9 | WADECKI Piotr | 70 |
| 10 | AGNOLI Valerio | 72 |
| 18 | JØRGENSEN René | 60 |
| 20 | SIMEONI Filippo | 68 |