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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Napolitano
3
81 kgChicchi
4
76 kgViganò
5
67 kgDegano
6
68 kgZanotti
10
70 kg
3
81 kgChicchi
4
76 kgViganò
5
67 kgDegano
6
68 kgZanotti
10
70 kg
Weight (KG) →
Result →
81
67
3
10
# | Rider | Weight (KG) |
---|---|---|
3 | NAPOLITANO Danilo | 81 |
4 | CHICCHI Francesco | 76 |
5 | VIGANÒ Davide | 67 |
6 | DEGANO Enrico | 68 |
10 | ZANOTTI Marco | 70 |