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 + 22
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | GYUROV Spas | 75 |
9 | ANGELOV Lachezar | 59 |
10 | ALEKSANDROV Yasen | 62 |
12 | KOLEV Yoan | 64 |
15 | DYANKOV Nikolay | 61 |
16 | HRISTOV Svetozar | 79 |
21 | DYANKOV Denis | 65 |
22 | ANDREEV Yordan | 63 |
25 | SUCHEV Mario | 68 |
29 | PETROV Yordan | 66 |
32 | PANCHEV Georgi | 74 |
33 | PALASHEV Borislav | 67 |
36 | BECHKOV Aleks | 67 |
39 | KATARDZHIEV Filip | 63 |