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 + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIHS Michael | 75 |
| 2 | GULDHAMMER Rasmus | 66 |
| 5 | BYSTRØM Sven Erik | 73 |
| 6 | LUDVIGSSON Tobias | 76 |
| 8 | RASMUSSEN Michael | 58 |
| 10 | KVIST Thomas Vedel | 68 |
| 12 | JØRGENSEN René | 60 |
| 18 | PÜTSEP Erki | 69 |
| 27 | HANSEN Jesper | 60 |
| 43 | BOILLAT Joris | 68 |