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 + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUDVIGSSON Tobias | 76 |
| 2 | BERGSTRÖM FRISK Erik | 67 |
| 3 | FORSSELL Hugo | 86 |
| 5 | AHLSSON Jacob | 68 |
| 6 | LARSÉN Richard | 82 |
| 7 | ANDERSSON Andreas | 70 |
| 9 | ALEHEIM Joakim | 68 |
| 10 | SÖDERGRANN Jakob | 80 |
| 15 | BERGSTRÖM FRISK Hannes | 70 |
| 21 | ANSARI Amir Arsalan | 71 |
| 22 | LJUNGGREN Carl | 68 |
| 33 | RINCON-AMAT Salvador | 67 |