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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONGSTAD Alfred | 75 |
| 3 | TOFTEMARK Lucas | 73 |
| 4 | HOBOLTH Marius | 71 |
| 5 | HANSEN Alexander Arnt | 68 |
| 9 | NIELSEN Daniel Weis | 60 |
| 13 | NIELSEN Emil Nymand | 56 |
| 15 | NIELSEN Magnus Lorents | 69 |
| 16 | LAU Gustav Ferdinand | 62 |
| 34 | JUST PEDERSEN Carl Emil | 80 |