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 = -0.7 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUIPER Hennie | 69 |
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | MOSER Francesco | 79 |
| 5 | MADIOT Marc | 68 |
| 6 | VAN DER POEL Adrie | 70 |
| 8 | HOSTE Frank | 76 |
| 9 | PLANCKAERT Eddy | 69 |
| 17 | VANDERAERDEN Eric | 74 |
| 20 | ROCHE Stephen | 74 |
| 25 | GAVAZZI Pierino | 67 |
| 32 | GAYANT Martial | 69 |