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 + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOBRERO Matteo | 63 |
| 2 | GARAVAGLIA Giacomo | 65 |
| 5 | DI FELICE Francesco | 70 |
| 8 | FORTUNATO Lorenzo | 57 |
| 11 | ZAHIRI Abderrahim | 57 |
| 14 | BARISON Emanuele | 59 |
| 15 | ROTONDI Matteo | 63 |
| 16 | DI RENZO Andrea | 62 |
| 17 | DI SANTE Antonio | 62 |
| 19 | DE BOD Stefan | 66 |
| 20 | JAMES Tim | 60 |
| 25 | ARNOULT Floryan | 60 |
| 27 | DOUBLE Paul | 56 |
| 34 | RAPPO Anthony | 63 |
| 35 | GROŠELJ Matic | 70 |
| 42 | HILL Benjamin | 67 |
| 46 | JOHNSTON Calum | 55 |