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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCIANDRI Maximilian | 75 |
| 3 | SØRENSEN Rolf | 70 |
| 6 | SARONNI Giuseppe | 65 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 9 | GAVAZZI Pierino | 67 |
| 13 | LELLI Massimiliano | 69 |
| 15 | EARLEY Martin | 62 |
| 17 | JÄRMANN Rolf | 73 |
| 22 | BALLERINI Franco | 78 |
| 23 | UGRUMOV Piotr | 58 |
| 25 | RICHARD Pascal | 67 |