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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SOKOLOV Evgeny | 70 |
| 3 | LEBAS Thomas | 65 |
| 4 | KVIST Thomas Vedel | 68 |
| 6 | JODTS Sven | 74 |
| 8 | TURGOT Sébastien | 73 |
| 9 | BAKELANTS Jan | 67 |
| 10 | PRADES Benjamín | 56 |
| 11 | KREDER Michel | 67 |
| 15 | QUÉMÉNEUR Perrig | 67 |