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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | LIENHARD Fabian | 73 |
2 | BOL Cees | 83 |
3 | VAN DALEN Jason | 70 |
4 | HABTOM Awet | 65 |
7 | MOSCHETTI Matteo | 73 |
8 | GIBSON Matthew | 76 |
10 | KRIEGER Alexander | 71 |
11 | ASGREEN Kasper | 75 |
13 | FOLSACH Casper | 81 |
15 | HORTON Tobyn | 70 |
18 | LEMOINE Gaëtan | 62 |
19 | MEEUS Jordi | 80 |