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 = 23.8 * weight - 1000
This means that on average for every extra kilogram weight a rider loses 23.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | STEINMAYR Wolfgang | 63 |
| 4 | BOURREAU Bernard | 63 |
| 5 | SCHMID Iwan | 64 |
| 990 | RÍOS Abelardo Antonio | 63 |
| 990 | THALMANN Robert | 75 |
| 990 | DUCHEMIN Marcel | 60 |
| 990 | KIRCHEN Erny | 74 |
| 990 | WEIBEL Peter | 69 |
| 990 | DIDIER Lucien | 67 |