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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | EDET Nicolas | 60 |
3 | SAGGIORATO Mirco | 58 |
4 | DE CLERCQ Bart | 67 |
5 | VUILLERMOZ Alexis | 60 |
6 | JONES Carter | 64 |
8 | BAGOT Yoann | 65 |
10 | WAEYTENS Zico | 67 |
11 | MOLARD Rudy | 62 |
12 | BARDET Romain | 65 |
15 | WELLENS Tim | 71 |
19 | EIJSSEN Yannick | 60 |
20 | TURGIS Jimmy | 63 |
21 | FUMEAUX Jonathan | 61 |
22 | BRUN Frederic | 73 |