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 = -2.7 * weight + 248
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Peffgen
27
67 kgRitter
28
74 kgMealli
43
73 kgVianelli
69
73 kgSchutz
70
72 kgMartini
95
65 kg
27
67 kgRitter
28
74 kgMealli
43
73 kgVianelli
69
73 kgSchutz
70
72 kgMartini
95
65 kg
Weight (KG) →
Result →
74
65
27
95
| # | Rider | Weight (KG) |
|---|---|---|
| 27 | PEFFGEN Wilfried | 67 |
| 28 | RITTER Ole | 74 |
| 43 | MEALLI Bruno | 73 |
| 69 | VIANELLI Pierfranco | 73 |
| 70 | SCHUTZ Edy | 72 |
| 95 | MARTINI Flavio | 65 |