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 = 0.6 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | SERGEANT Marc | 76 |
| 11 | ZOETEMELK Joop | 68 |
| 13 | RICHARD Pascal | 67 |
| 15 | NEVENS Jan | 58 |
| 18 | GIANETTI Mauro | 62 |
| 36 | CHEVALLIER Philippe | 69 |
| 44 | CHIAPPUCCI Claudio | 67 |
| 46 | GLAUS Gilbert | 67 |
| 48 | VILAMAJO Jaime | 70 |
| 49 | ALONSO Marino | 70 |