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 = -0.5 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLIZOTTI Franco | 64 |
| 3 | GLOMSER Gerrit | 67 |
| 4 | EVANS Cadel | 64 |
| 6 | NARDELLO Daniele | 74 |
| 7 | BASSO Ivan | 70 |
| 10 | GUSTOV Volodymyr | 64 |
| 11 | BERTOLINI Alessandro | 63 |
| 12 | EISEL Bernhard | 74 |
| 13 | MÜHLBACHER Thomas | 68 |
| 14 | MIHOLJEVIĆ Vladimir | 68 |
| 18 | RASMUSSEN Michael | 58 |
| 19 | TIRALONGO Paolo | 63 |
| 24 | MAZZANTI Luca | 64 |
| 25 | CHEULA Giampaolo | 62 |
| 36 | PETROV Evgeni | 70 |
| 38 | PFANNBERGER Christian | 63 |