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 = 0.4 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BATES Gene | 61 |
| 5 | LUND Anders | 65 |
| 6 | KVASINA Matija | 72 |
| 11 | POSSONI Morris | 56 |
| 13 | KOCJAN Jure | 72 |
| 14 | VELITS Peter | 63 |
| 17 | KIŠERLOVSKI Robert | 72 |
| 18 | BRAJKOVIČ Janez | 60 |
| 19 | ŠPILAK Simon | 68 |
| 20 | DA DALTO Mauro | 72 |
| 21 | BONO Matteo | 60 |
| 22 | DALL'ANTONIA Tiziano | 70 |
| 24 | SAMOILAU Branislau | 77 |