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 | MARECZKO Jakub | 67 |
| 2 | FERNÁNDEZ Miguel Ángel | 78 |
| 3 | LAAS Martin | 76 |
| 4 | DUPONT Timothy | 72 |
| 5 | ZANONCELLO Enrico | 64 |
| 6 | RASCH Jesper | 71 |
| 7 | JACKSON George | 75 |
| 9 | KUDUS Merhawi | 58 |
| 10 | SMIRNOV Ivan | 83 |
| 11 | BOGDANOVIČS Māris | 68 |
| 14 | GATE Aaron | 71 |
| 15 | GALVÁN Francisco | 69 |
| 16 | JANSE VAN RENSBURG Reinardt | 74 |
| 18 | RAILEANU Cristian | 63 |