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 | SIMMONS Quinn | 73 |
| 2 | SHEFFIELD Magnus | 73 |
| 3 | WATSON Samuel | 68 |
| 6 | ASKEY Lewis | 75 |
| 7 | PIDCOCK Joseph | 57 |
| 8 | DE LIE Arnaud | 78 |
| 9 | VANDENBULCKE Alex | 61 |
| 10 | PORTSMOUTH Tom | 70 |
| 11 | WESTLEY Dylan | 54 |