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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cornu
1
78 kgDall'Antonia
2
70 kgClancy
4
79 kgKux
13
74 kgKluge
17
83 kgCiolek
21
75 kg
1
78 kgDall'Antonia
2
70 kgClancy
4
79 kgKux
13
74 kgKluge
17
83 kgCiolek
21
75 kg
Weight (KG) →
Result →
83
70
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNU Dominique | 78 |
| 2 | DALL'ANTONIA Tiziano | 70 |
| 4 | CLANCY Edward | 79 |
| 13 | KUX Christian | 74 |
| 17 | KLUGE Roger | 83 |
| 21 | CIOLEK Gerald | 75 |