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 = 26.1 * weight - 1143
This means that on average for every extra kilogram weight a rider loses 26.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GAVAZZI Pierino | 67 |
| 5 | MERCKX Eddy | 74 |
| 990 | PETTERSSON Gösta | 75 |
| 990 | PFENNINGER Louis | 70 |
| 990 | CONTI Tino | 79 |
| 990 | AJA Gonzalo | 66 |
| 990 | PIJNEN René | 72 |
| 990 | JOLLY Brian | 76 |