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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOCCARATO Samuele | 74 |
| 2 | ZANA Filippo | 65 |
| 3 | PEÑA Jesús David | 56 |
| 4 | STÜSSI Colin | 68 |
| 5 | MEILER Lukas | 65 |
| 6 | ALEOTTI Giovanni | 67 |
| 7 | ZWIEHOFF Ben | 61 |
| 8 | BADILATTI Matteo | 62 |
| 9 | ULISSI Diego | 63 |
| 10 | DOUBLE Paul | 56 |
| 11 | MOHORIČ Matej | 71 |
| 12 | WELLENS Tim | 71 |
| 15 | VOLTR Martin | 75 |
| 16 | KALOJÍROS Tomáš | 68 |
| 17 | GAROSIO Andrea | 58 |
| 18 | JARC Aljaž | 75 |