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 = -0.6 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | PASSERON Aurélien | 73 |
7 | VASYLYUK Andriy | 65 |
8 | GYUROV Spas | 75 |
11 | ȚVETCOV Serghei | 69 |
15 | JOVANOVIĆ Nebojša | 60 |
17 | SZEGHALMI Balint | 66 |
18 | KOGUT Volodymyr | 73 |
27 | GERGANOV Evgeni | 60 |
38 | VASILYEV Maksym | 70 |
43 | KROTKÝ Rostislav | 73 |
45 | LOVASSY Krisztián | 71 |
59 | ČANECKÝ Marek | 72 |
69 | MARGALIOT Ran | 60 |
71 | AKDILEK Ahmet | 68 |
73 | PETROV Danail Andonov | 63 |
80 | KAL Miraç | 72 |