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 - 52
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÖNIG Leopold | 62 |
| 2 | BOASSON HAGEN Edvald | 75 |
| 3 | STEENSEN André | 65 |
| 5 | KANGERT Tanel | 65 |
| 7 | TAARAMÄE Rein | 68 |
| 13 | ČANECKÝ Marek | 72 |
| 16 | KVIST Thomas Vedel | 68 |
| 17 | TYBOR Patrik | 72 |
| 18 | KRIZEK Matthias | 74 |
| 19 | FORKE Sebastian | 78 |