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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | DÉMARE Arnaud | 76 |
2 | ALAPHILIPPE Julian | 62 |
3 | GILBERT Philippe | 75 |
4 | KRISTOFF Alexander | 78 |
5 | HARDY Romain | 62 |
6 | GALLOPIN Tony | 69 |
7 | MARTIN Dan | 59 |
8 | CHAVANEL Sylvain | 73 |
9 | HALLER Marco | 72 |
10 | HENAO Sergio | 61 |
11 | KOREN Kristijan | 72 |
12 | MOLARD Rudy | 62 |
13 | GREIPEL André | 80 |