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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERONA Carlos | 68 |
| 2 | GERTS Floris | 71 |
| 3 | MONFORT Maxime | 66 |
| 4 | EARLE Nathan | 70 |
| 5 | LAMBRECHT Bjorg | 56 |
| 6 | GOGL Michael | 71 |
| 7 | KRAGH ANDERSEN Søren | 73 |
| 8 | KNOX James | 58 |
| 9 | HAMILTON Lucas | 71 |
| 11 | BOASSON HAGEN Edvald | 75 |
| 12 | STORER Michael | 63 |