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 + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LONARDI Giovanni | 70 |
| 2 | GOVEKAR Matevž | 73 |
| 3 | DUPONT Timothy | 72 |
| 4 | VAN ROOY Kenneth | 70 |
| 5 | WILKSCH Hannes | 62 |
| 7 | UHLIG Henri | 69 |
| 9 | PLOWRIGHT Jensen | 80 |
| 10 | VAN DEN BOSSCHE Fabio | 63 |
| 13 | ZANONCELLO Enrico | 64 |
| 14 | SOUSA José | 59 |