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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 2 | NARDELLO Daniele | 74 |
| 4 | CASAGRANDE Francesco | 64 |
| 5 | GONTCHENKOV Alexander | 74 |
| 8 | TAFI Andrea | 73 |
| 10 | ARTUNGHI Marco | 71 |
| 11 | ŠTANGELJ Gorazd | 70 |
| 14 | CHIAPPUCCI Claudio | 67 |
| 16 | MUSEEUW Johan | 71 |
| 21 | SIVAKOV Alexei | 72 |
| 24 | BARTOLI Michele | 65 |