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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 2 | POLLACK Olaf | 77 |
| 3 | O'GRADY Stuart | 73 |
| 4 | EISEL Bernhard | 74 |
| 5 | BARBOSA Cândido | 72 |
| 6 | MARKOV Alexei | 80 |
| 7 | DEKKERS Hans | 72 |
| 8 | GARRIDO Martin Gerardo | 70 |
| 10 | FÖRSTER Robert | 83 |
| 11 | COOKE Baden | 75 |
| 14 | BILEKA Volodymyr | 65 |
| 19 | MIKHAYLOV Gennady | 74 |