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 + 20
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOHORIČ Matej | 71 |
| 2 | ARSLANOV Ildar | 63 |
| 4 | MERTZ Rémy | 70 |
| 16 | HADARI Zohar | 58 |
| 39 | TASCHIN Luca | 56 |
| 42 | RUČIGAJ Žiga | 68 |
| 45 | SAGIV Guy | 68 |
| 76 | LUCHSHENKO Sergey | 63 |
| 92 | YECHEZKEL Aviv | 70 |