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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AVERMAET Greg | 74 |
| 2 | MATTHEWS Michael | 72 |
| 3 | JONES Chris | 64 |
| 6 | REIJNEN Kiel | 63 |
| 9 | STUYVEN Jasper | 78 |
| 11 | RODRIGUEZ Fred | 68 |
| 12 | JENKINS Max | 63 |
| 13 | MACHADO Tiago | 63 |
| 14 | LOUDER Jeff | 73 |