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 = 0.7 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BENFATTO Marco | 71 |
2 | EEFTING-BLOEM Roy | 75 |
3 | MEIJERS Jeroen | 68 |
7 | GUARDINI Andrea | 66 |
8 | BENHAMOUDA Mehdi | 64 |
9 | SALEH Mohd Harrif | 70 |
10 | REGUIGUI Youcef | 69 |
15 | SAMOILAU Branislau | 77 |
18 | GIBSON Matthew | 76 |
19 | PAPOK Siarhei | 76 |