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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Parra
1
51 kgRøed
2
74 kgArnopol
3
61 kgKlein
4
66 kgDal-Cin
7
77 kgMonk
9
67 kgScott
13
66 kg
1
51 kgRøed
2
74 kgArnopol
3
61 kgKlein
4
66 kgDal-Cin
7
77 kgMonk
9
67 kgScott
13
66 kg
Weight (KG) →
Result →
77
51
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARRA Heiner Rodrigo | 51 |
| 2 | RØED Torbjørn Andre | 74 |
| 3 | ARNOPOL Richard | 61 |
| 4 | KLEIN Tobias | 66 |
| 7 | DAL-CIN Matteo | 77 |
| 9 | MONK Cyrus | 67 |
| 13 | SCOTT Jared | 66 |