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 = 1.7 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KANGERT Tanel | 65 |
| 2 | STEENSEN André | 65 |
| 3 | TAARAMÄE Rein | 73 |
| 6 | KVIST Thomas Vedel | 68 |
| 7 | REIMER Martin | 69 |
| 8 | BOASSON HAGEN Edvald | 75 |
| 9 | TYBOR Patrik | 72 |
| 11 | KÖNIG Leopold | 62 |
| 18 | PAĎOUR František | 59 |
| 21 | PFINGSTEN Christoph | 69 |
| 50 | KITTEL Marcel | 82 |
| 52 | SAGAN Juraj | 65 |
| 53 | KRIZEK Matthias | 74 |
| 61 | FORKE Sebastian | 78 |
| 65 | CHARUCKI Paweł | 64 |
| 66 | STAUFF Andreas | 82 |
| 67 | ČANECKÝ Marek | 72 |