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 = 0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | POULIDOR Raymond | 71 |
| 6 | SWERTS Roger | 75 |
| 7 | BRACKE Ferdinand | 79 |
| 10 | VAN LOOY Rik | 73 |
| 14 | STEEVENS Harry | 73 |
| 26 | POST Peter | 79 |
| 38 | HARRISON Derek | 73 |
| 40 | KARSTENS Gerben | 74 |