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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MULLEN Ryan | 77 |
2 | DE MAN Jaap | 68 |
4 | SCHÖNBERGER Sebastian | 64 |
6 | GESBERT Élie | 63 |
7 | JOURNIAUX Axel | 63 |
9 | MALUCELLI Matteo | 68 |
11 | MACKINNON Sean | 75 |
14 | LAVERACK Edward | 62 |
15 | HOLMES Matthew | 67 |
17 | KERGOZOU DE LA BOESSIERE Nick | 74 |
22 | BENHAMOUDA Mehdi | 64 |
29 | MUDGWAY Luke | 65 |