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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUGNIES Jérôme | 69 |
| 2 | CORT Magnus | 68 |
| 3 | ENGER Sondre Holst | 69 |
| 4 | TRUSOV Nikolay | 77 |
| 5 | KRISTOFF Alexander | 78 |
| 6 | SBARAGLI Kristian | 74 |
| 7 | SPRENGERS Thomas | 60 |
| 9 | JACOBS Pieter | 68 |
| 10 | BETTIOL Alberto | 69 |
| 11 | KREDER Wesley | 71 |
| 12 | REIHS Michael | 75 |
| 14 | HAVIK Piotr | 73 |
| 16 | HABEAUX Grégory | 68 |