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 + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREUZIGER Roman | 65 |
| 2 | WYSS Danilo | 65 |
| 3 | KOHLER Martin | 69 |
| 4 | CAVENDISH Mark | 70 |
| 5 | COZZA Steven | 70 |
| 6 | VAN POPPEL Boy | 78 |
| 7 | REUS Kai | 70 |
| 8 | VAN STAEYEN Michael | 62 |
| 9 | VAN EMDEN Jos | 78 |
| 10 | GUARNIERI Jacopo | 80 |
| 11 | REIJNEN Kiel | 63 |
| 12 | ANDERSON Ryan | 66 |
| 14 | BOL Jetse | 71 |
| 15 | RUIJGH Rob | 64 |