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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALLIN Rasmus Bøgh | 78 |
| 2 | FOLDAGER Anders | 69 |
| 4 | BREGNHØJ Mathias | 63 |
| 5 | HENNEBERG Magnus | 67 |
| 6 | JENSEN Frederik Irgens | 75 |
| 7 | DE WILDE Gilles | 75 |
| 9 | AASKOV PALLESEN Jeppe | 60 |
| 10 | DECLERCQ Tim | 78 |
| 11 | RAHBEK Mads | 66 |
| 14 | VERGAERDE Otto | 74 |
| 15 | MALMBERG Matias | 68 |
| 16 | KNUDSEN Oliver | 59 |