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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | BARBERO Carlos | 66 |
| 3 | PINTO Edgar | 58 |
| 4 | BRANDÃO Joni | 64 |
| 5 | PRADES Eduard | 63 |
| 6 | HNÍK Karel | 57 |
| 7 | OYARZÚN Carlos Iván | 66 |
| 8 | PUTT Tanner | 75 |
| 9 | ISIDORO Micael | 63 |
| 10 | FONTE César | 60 |
| 11 | ANTUNES Amaro | 58 |
| 12 | BYSTRØM Sven Erik | 73 |
| 13 | HOELGAARD Markus | 74 |