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 = 13.8 * weight - 329
This means that on average for every extra kilogram weight a rider loses 13.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FIGNON Laurent | 67 |
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 5 | MARIE Thierry | 68 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | CHEVALLIER Philippe | 69 |
| 990 | RICHARD Pascal | 67 |
| 990 | PEETERS Wilfried | 76 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | SOLLEVELD Gerrit | 93 |