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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUHANNI Nacer | 65 |
| 2 | BAUHAUS Phil | 75 |
| 3 | COSTA Rui | 69 |
| 4 | BONIFAZIO Niccolò | 72 |
| 5 | HAUSSLER Heinrich | 74 |
| 6 | DEBUSSCHERE Jens | 77 |
| 7 | SLAGTER Tom-Jelte | 57 |
| 8 | DUPONT Timothy | 72 |
| 9 | BARBERO Carlos | 66 |
| 10 | AULAR Orluis | 65 |
| 11 | KRON Andreas | 63 |
| 13 | JENSEN August | 67 |
| 14 | TERPSTRA Niki | 75 |
| 15 | MALUCELLI Matteo | 68 |
| 16 | TRARIEUX Julien | 71 |
| 17 | REGUIGUI Youcef | 69 |