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 = 0.3 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'NEILL Nathan | 72 |
| 5 | PETERSON Tom | 70 |
| 7 | HESJEDAL Ryder | 73 |
| 13 | EUSER Lucas | 56 |
| 19 | DUGGAN Timothy | 60 |
| 23 | LOUDER Jeff | 73 |
| 26 | MCCANN David | 73 |
| 45 | JENKINS Max | 63 |
| 62 | NIYONSHUTI Adrien | 63 |
| 73 | HEGYVARY Adrian | 78 |