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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUMOULIN Tom | 69 |
| 2 | ZEPUNTKE Ruben | 76 |
| 3 | ORAM James | 68 |
| 5 | VAN DER LIJKE Nick | 61 |
| 6 | SMITH Dion | 67 |
| 7 | FORMOLO Davide | 62 |
| 8 | YATES Simon | 58 |
| 9 | SKUJIŅŠ Toms | 70 |
| 10 | HOULE Hugo | 72 |
| 11 | VILLELLA Davide | 66 |
| 15 | PREIDLER Georg | 68 |
| 16 | PUTT Tanner | 75 |
| 17 | AHLSTRAND Jonas | 72 |
| 18 | OLIVIER Daan | 64 |
| 20 | MOHORIČ Matej | 71 |
| 21 | PERRY Benjamin | 71 |
| 22 | MANNION Gavin | 58 |