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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | CASPER Jimmy | 69 |
| 3 | MAGNUSSON Glenn | 70 |
| 4 | CAPELLE Christophe | 73 |
| 5 | MONCASSIN Frédéric | 73 |
| 6 | BAFFI Adriano | 70 |
| 7 | BARTHE Stéphane | 65 |
| 8 | JALABERT Nicolas | 68 |
| 9 | SWEET Jay | 69 |
| 10 | GERRIKAGOITIA Gorka | 63 |