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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAJKA Rafał | 62 |
| 2 | POGAČAR Tadej | 66 |
| 3 | POTOČKI Viktor | 58 |
| 4 | ZOCCARATO Samuele | 74 |
| 5 | NOVAK Domen | 70 |
| 6 | BARCELÓ Fernando | 65 |
| 8 | MOHORIČ Matej | 71 |
| 9 | BUDZIŃSKI Tomasz | 69 |
| 10 | DE ROSSI Lucas | 70 |
| 11 | CANAL Carlos | 70 |
| 12 | ALBANESE Vincenzo | 70 |
| 15 | MARENGO Umberto | 69 |
| 16 | COBO Iván | 64 |