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 = 0.6 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOUDER Jeff | 73 |
| 2 | O'NEILL Nathan | 72 |
| 3 | ROMANIK Radosław | 62 |
| 6 | BROŻYNA Tomasz | 65 |
| 7 | HUZARSKI Bartosz | 69 |
| 9 | TUFT Svein | 77 |
| 14 | IGLINSKIY Maxim | 67 |
| 16 | FRASER Gordon | 71 |
| 19 | WOHLBERG Eric | 63 |
| 32 | LIESE Thomas | 75 |
| 33 | POWER Ciarán | 68 |
| 35 | CHMIELEWSKI Piotr | 72 |
| 39 | GERDEMANN Linus | 71 |