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 - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POGAČAR Tadej | 66 |
| 2 | STORER Michael | 63 |
| 3 | HINDLEY Jai | 60 |
| 4 | SOSA Iván Ramiro | 52 |
| 5 | OTRUBA Jakub | 75 |
| 7 | BOU Joan | 62 |
| 8 | FINKŠT Tilen | 70 |
| 9 | LAVRIČ Martin | 64 |
| 10 | GOLDSTEIN Omer | 61 |
| 11 | EENKHOORN Pascal | 72 |
| 14 | GROŠELJ Matic | 70 |
| 16 | PRIMOŽIČ Jaka | 60 |
| 17 | COLNAGHI Luca | 63 |
| 18 | RAJOVIĆ Dušan | 74 |
| 19 | BELLAN Juraj | 61 |
| 22 | VIVIANI Attilio | 69 |
| 25 | JERMAN Žiga | 67 |