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 = -0.4 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
6 | STEVIĆ Ivan | 66 |
15 | ZEITS Andrey | 73 |
16 | RAIMBEKOV Bolat | 66 |
21 | BUTS Vitaliy | 68 |
35 | MARIN Matej | 67 |
41 | RATTI Eddy | 64 |
46 | TROFIMOV Yuri | 59 |
57 | KÜÇÜKBAY Kemal | 70 |
58 | KOGUT Volodymyr | 73 |
59 | SCHEIRLINCKX Bert | 67 |
66 | KVASINA Matija | 72 |
67 | RENEV Sergey | 68 |
68 | GERGANOV Evgeni | 60 |
71 | VORGANOV Eduard | 65 |