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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZEPUNTKE Ruben | 76 |
| 2 | NAVARDAUSKAS Ramūnas | 79 |
| 3 | HAYMAN Mathew | 78 |
| 4 | ANDERSON Ryan | 66 |
| 5 | SMITH Dion | 67 |
| 6 | KING Ben | 68 |
| 8 | SUMMERHILL Daniel | 70 |
| 10 | WEGMANN Fabian | 60 |
| 11 | ORAM James | 68 |
| 12 | VAN HOOYDONCK Nathan | 78 |
| 13 | VANMARCKE Sep | 77 |