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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Joachim
1
82 kgNazon
3
74 kgClinger
4
77 kgTombak
5
71 kgBuxhofer
6
70 kgBergès
10
68 kg
1
82 kgNazon
3
74 kgClinger
4
77 kgTombak
5
71 kgBuxhofer
6
70 kgBergès
10
68 kg
Weight (KG) →
Result →
82
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOACHIM Benoît | 82 |
| 3 | NAZON Jean-Patrick | 74 |
| 4 | CLINGER David | 77 |
| 5 | TOMBAK Janek | 71 |
| 6 | BUXHOFER Matthias | 70 |
| 10 | BERGÈS Stéphane | 68 |