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 = -0.7 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Pfenninger
1
70 kgHarrison
7
73 kgBalmamion
21
67 kgTschan
25
68 kgLewis
30
70 kgKarstens
38
74 kgPeffgen
39
67 kg
1
70 kgHarrison
7
73 kgBalmamion
21
67 kgTschan
25
68 kgLewis
30
70 kgKarstens
38
74 kgPeffgen
39
67 kg
Weight (KG) →
Result →
74
67
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PFENNINGER Louis | 70 |
| 7 | HARRISON Derek | 73 |
| 21 | BALMAMION Franco | 67 |
| 25 | TSCHAN Jürgen | 68 |
| 30 | LEWIS Colin | 70 |
| 38 | KARSTENS Gerben | 74 |
| 39 | PEFFGEN Wilfried | 67 |