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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pidgornyy
2
72 kgMarzano
3
58 kgReiss
4
73 kgVanotti
5
70 kgViganò
10
67 kgHabeaux
12
68 kgCaccia
14
70 kg
2
72 kgMarzano
3
58 kgReiss
4
73 kgVanotti
5
70 kgViganò
10
67 kgHabeaux
12
68 kgCaccia
14
70 kg
Weight (KG) →
Result →
73
58
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIDGORNYY Ruslan | 72 |
| 3 | MARZANO Marco | 58 |
| 4 | REISS Andris | 73 |
| 5 | VANOTTI Alessandro | 70 |
| 10 | VIGANÒ Davide | 67 |
| 12 | HABEAUX Grégory | 68 |
| 14 | CACCIA Diego | 70 |