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 = 1.5 * weight - 84
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BROŻYNA Tomasz | 65 |
| 2 | O'NEILL Nathan | 72 |
| 4 | ROMANIK Radosław | 62 |
| 6 | IGLINSKIY Maxim | 67 |
| 7 | LIESE Thomas | 75 |
| 10 | POWER Ciarán | 68 |
| 14 | LOUDER Jeff | 73 |
| 18 | BAZAYEV Assan | 62 |
| 22 | ROUTLEY Will | 69 |
| 24 | FRASER Gordon | 71 |
| 30 | CHMIELEWSKI Piotr | 72 |
| 31 | TUFT Svein | 77 |
| 46 | HUZARSKI Bartosz | 69 |
| 48 | GERDEMANN Linus | 71 |
| 49 | HENDERSON Gregory | 75 |