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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHINNEY Taylor | 82 |
| 2 | REIJNEN Kiel | 63 |
| 3 | BOOKWALTER Brent | 70 |
| 4 | ANDERSON Ryan | 66 |
| 5 | MANNION Gavin | 58 |
| 6 | BROWN Nathan | 65 |
| 7 | BOIVIN Guillaume | 78 |
| 9 | OWEN Logan | 67 |
| 10 | ARREDONDO Julián David | 58 |
| 11 | ROVNY Ivan | 62 |
| 12 | ORAM James | 68 |
| 13 | DANIEL Gregory | 64 |
| 15 | SKUJIŅŠ Toms | 70 |
| 16 | MOLINA Antonio | 57 |
| 17 | CARUSO Damiano | 67 |