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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 3 | JONKER Patrick | 69 |
| 4 | GILBERT Philippe | 75 |
| 5 | CLERC Aurélien | 71 |
| 6 | RENSHAW Mark | 74 |
| 8 | BATES Gene | 61 |
| 10 | FISCHER Murilo Antonio | 65 |
| 11 | EISEL Bernhard | 74 |
| 12 | KAGGESTAD Mads | 66 |
| 14 | ROBERTS Luke | 71 |
| 15 | BROWN Graeme Allen | 76 |