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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOHORIČ Matej | 71 |
| 2 | VISCONTI Giovanni | 63 |
| 3 | DUIJN Huub | 73 |
| 4 | GATE Aaron | 71 |
| 5 | GERTS Floris | 71 |
| 6 | EIKING Odd Christian | 75 |
| 7 | PADUN Mark | 67 |
| 8 | BACKAERT Frederik | 78 |
| 10 | CHRISTIAN Mark | 72 |
| 11 | THALMANN Roland | 61 |
| 12 | KRIZEK Matthias | 74 |
| 13 | ZIMMERMANN Georg | 70 |
| 14 | FINETTO Mauro | 62 |
| 15 | ORRICO Davide | 70 |
| 16 | PELIKÁN János | 76 |