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 = 0.9 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZOETEMELK Joop | 68 |
| 11 | RICHARD Pascal | 67 |
| 17 | FIGNON Laurent | 67 |
| 22 | DUCLOS-LASSALLE Gilbert | 73 |
| 23 | CHIAPPUCCI Claudio | 67 |
| 47 | CHEVALLIER Philippe | 69 |
| 48 | SOLLEVELD Gerrit | 93 |
| 67 | MARIE Thierry | 68 |