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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEEMREIZE Gijs | 66 |
| 2 | LAŠINIS Venantas | 69 |
| 3 | PRIMOŽIČ Jaka | 60 |
| 4 | TRACZ Szymon | 74 |
| 7 | ŠTIBINGR Matěj | 62 |
| 8 | VENCHIARUTTI Nicola | 64 |
| 10 | BÁRTA Tomáš | 79 |
| 11 | ALEOTTI Giovanni | 67 |
| 12 | RINALDI Nicholas | 65 |
| 13 | BUDZIŃSKI Marcin | 70 |
| 14 | VAN DER HORST Dennis | 62 |
| 15 | MARSMAN Tim | 75 |
| 16 | ZAMBELLI Samuele | 70 |