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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONCASSIN Frédéric | 73 |
| 2 | JALABERT Laurent | 66 |
| 3 | BLIJLEVENS Jeroen | 70 |
| 5 | JALABERT Nicolas | 68 |
| 6 | HEULOT Stéphane | 69 |
| 7 | MICHAELSEN Lars | 79 |
| 8 | SCHAFFRATH Jan | 74 |
| 10 | VASSEUR Cédric | 70 |