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 = -1.7 * weight + 138
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Kittel
1
82 kgKoch
2
69 kgDegenkolb
5
82 kgSchiewer
11
70 kgWerda
25
66 kgReinhardt
30
72 kgHesselbarth
49
65 kg
1
82 kgKoch
2
69 kgDegenkolb
5
82 kgSchiewer
11
70 kgWerda
25
66 kgReinhardt
30
72 kgHesselbarth
49
65 kg
Weight (KG) →
Result →
82
65
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | KOCH Michel | 69 |
| 5 | DEGENKOLB John | 82 |
| 11 | SCHIEWER Franz | 70 |
| 25 | WERDA Maximilian | 66 |
| 30 | REINHARDT Theo | 72 |
| 49 | HESSELBARTH David | 65 |