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 + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | MORI Manuele | 62 |
| 3 | GREIPEL André | 80 |
| 4 | BONIFAZIO Niccolò | 72 |
| 5 | CONSONNI Simone | 60 |
| 6 | VIVIANI Elia | 67 |
| 7 | KUBOKI Kazushige | 68 |
| 8 | MAESTRI Mirco | 73 |
| 9 | KLUGE Roger | 83 |
| 10 | ZAKHAROV Artyom | 70 |
| 11 | PORSEV Alexander | 80 |
| 12 | PELUCCHI Matteo | 74 |
| 13 | RUFFONI Nicola | 70 |
| 14 | GROSU Eduard-Michael | 68 |
| 15 | LOZANO David | 63 |
| 16 | ERSHOV Artur | 70 |