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 - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEN HERTOG Fedor | 76 |
| 2 | SCHMID Iwan | 64 |
| 3 | BOURREAU Bernard | 63 |
| 4 | DUCHEMIN Marcel | 60 |
| 6 | MARTIN Raymond | 62 |
| 9 | EDWARDS Phil | 80 |
| 10 | KUIPER Hennie | 69 |
| 14 | VONDRÁČEK Vladimír | 81 |
| 18 | SUTTER Ueli | 70 |
| 20 | SCHÜR Fritz | 74 |
| 24 | PRIEM Cees | 75 |
| 25 | HÁVA Jiří | 62 |
| 37 | HUBSCHMID Bruno | 74 |
| 42 | THALMANN Robert | 75 |