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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOKBRO Andreas | 70 |
| 2 | ERIKSSON Lucas | 64 |
| 3 | ZAHIRI Abderrahim | 57 |
| 4 | KARALIOK Yauheni | 75 |
| 5 | KRON Andreas | 63 |
| 6 | MAZZUCCO Fabio | 69 |
| 7 | VAHTRA Norman | 85 |
| 8 | LAŠINIS Venantas | 69 |
| 9 | MENGOULAS Alex | 66 |
| 10 | ZANA Filippo | 65 |
| 12 | LAUK Karl Patrick | 69 |
| 15 | GREGAARD Jonas | 66 |
| 17 | PEÑALVER Manuel | 67 |
| 18 | FEDELI Alessandro | 65 |
| 20 | BENIUŠIS Justas | 85 |
| 22 | IVASHKIN Anton | 73 |