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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Piccoli
1
64 kgSciandri
2
75 kgCasarotto
3
74 kgMazzanti
4
64 kgCasagrande
6
64 kgBramati
12
72 kgApollonio
13
70 kg
1
64 kgSciandri
2
75 kgCasarotto
3
74 kgMazzanti
4
64 kgCasagrande
6
64 kgBramati
12
72 kgApollonio
13
70 kg
Weight (KG) →
Result →
75
64
1
13
# | Rider | Weight (KG) |
---|---|---|
1 | PICCOLI Mariano | 64 |
2 | SCIANDRI Maximilian | 75 |
3 | CASAROTTO Davide | 74 |
4 | MAZZANTI Luca | 64 |
6 | CASAGRANDE Francesco | 64 |
12 | BRAMATI Davide | 72 |
13 | APOLLONIO Massimo | 70 |