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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALLERINI Davide | 71 |
| 2 | ROBEET Ludovic | 75 |
| 3 | KOCH Jonas | 75 |
| 4 | BUDYAK Anatoliy | 53 |
| 6 | MERTZ Rémy | 70 |
| 8 | WARNIER Antoine | 71 |
| 10 | JABRAYILOV Samir | 52 |
| 11 | MAMYKIN Matvey | 62 |
| 13 | SPREAFICO Matteo | 69 |
| 15 | DVORSKY David | 64 |
| 25 | KNAUP Tobias | 61 |
| 26 | SOBALLA Carl | 71 |
| 29 | KALOJÍROS Tomáš | 68 |
| 32 | BRAUN Julian | 76 |