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 = -1.1 * weight + 113
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | GALIMZYANOV Denis | 75 |
10 | KRIVTSOV Dmytro | 72 |
15 | FORKE Sebastian | 78 |
16 | SEREBRYAKOV Alexander | 70 |
18 | KLUGE Roger | 83 |
21 | PFINGSTEN Christoph | 69 |
25 | REIMER Martin | 69 |
31 | SCHULTING Peter | 70 |
32 | STAUFF Andreas | 82 |
53 | JANORSCHKE Grischa | 78 |
68 | WESTMATTELMANN Daniel | 75 |
77 | SEUBERT Timon | 73 |
83 | WALSLEBEN Philipp | 66 |