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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLECK Andy | 68 |
| 3 | ROESEMS Bert | 81 |
| 4 | PEDERSEN Martin | 62 |
| 5 | VANSUMMEREN Johan | 79 |
| 6 | ROBERTS Luke | 71 |
| 7 | PIIL Jakob Storm | 65 |
| 8 | PASAMONTES Luis | 72 |
| 9 | VANLANDSCHOOT James | 67 |
| 10 | VANDE VELDE Christian | 69 |
| 11 | POZZATO Filippo | 73 |
| 12 | NUYENS Nick | 68 |
| 13 | KROON Karsten | 67 |
| 14 | SABIDO Hugo | 70 |
| 15 | GARATE Juan Manuel | 62 |
| 16 | TEN DAM Laurens | 67 |
| 17 | CRETSKENS Wilfried | 75 |