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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LESUEUR Raoul | 74 |
| 2 | BERTY Charles | 76 |
| 3 | HUBATZ Georges | 80 |
| 4 | TANNEVEAU Robert | 66 |
| 5 | DEBRUYCKERE Arthur | 71 |
| 6 | GALATEAU Fabien | 76 |
| 7 | MAYE Paul | 67 |
| 8 | GOASMAT Jean-Marie | 60 |
| 10 | MARIE Yvan | 80 |