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 + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAL Egan | 60 |
| 2 | MARTÍNEZ Daniel Felipe | 63 |
| 3 | RODRÍGUEZ Cristián | 59 |
| 4 | RAVASI Edward | 61 |
| 5 | MOSCON Gianni | 71 |
| 7 | ARSLANOV Ildar | 63 |
| 8 | AMEZQUETA Julen | 63 |
| 9 | NARDELLI Stefano | 62 |
| 10 | ANDREETTA Simone | 69 |
| 11 | MÜHLBERGER Gregor | 64 |
| 12 | RYBALKIN Aleksey | 60 |
| 14 | FABBRO Matteo | 52 |
| 15 | CARTHY Hugh | 69 |
| 17 | ROTA Lorenzo | 62 |
| 18 | SCHÖNBERGER Sebastian | 64 |