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 = -0.7 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLAKSIS Andžs | 79 |
| 2 | BĒCIS Armands | 82 |
| 9 | PÜTSEP Erki | 69 |
| 19 | GALTA Fredrik Strand | 78 |
| 20 | MAGNUSSON Kim | 71 |
| 24 | HANSEN Jesper | 60 |
| 27 | WETTERHALL Alexander | 70 |
| 29 | BYSTRØM Sven Erik | 73 |
| 50 | GARBY Marc Christian | 63 |
| 53 | LANDER Sebastian | 70 |
| 54 | LUDVIGSSON Tobias | 76 |
| 56 | QUAADE Rasmus | 77 |
| 57 | NORMAN LETH Lasse | 75 |