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 | MALUCELLI Matteo | 68 |
| 2 | BLIKRA Erlend | 75 |
| 3 | DE KLEIJN Arvid | 68 |
| 5 | PEÑALVER Manuel | 67 |
| 7 | KRISTOFF Alexander | 78 |
| 8 | RAJOVIĆ Dušan | 74 |
| 9 | TESSON Jason | 59 |
| 10 | HADDEN Nate | 68 |
| 11 | BRUSTENGA Marc | 80 |
| 13 | SALEH Mohd Harrif | 70 |
| 14 | EDDY Patrick | 79 |