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 = 1 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
5 | JALABERT Laurent | 66 |
6 | MUSEEUW Johan | 71 |
7 | DE WILDE Etienne | 70 |
9 | FIGNON Laurent | 67 |
10 | ROMINGER Tony | 65 |
17 | CAPELLE Christophe | 73 |
18 | ROCHE Stephen | 74 |
20 | GAYANT Martial | 69 |
23 | ELLIOTT Malcolm | 76 |
25 | MADIOT Marc | 68 |