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 = -4 * weight + 345
This means that on average for every extra kilogram weight a rider loses -4 positions in the result.
Gimondi
10
78 kgSchutz
47
72 kgPeffgen
62
67 kgMealli
66
73 kgBailetti
72
70 kgZanin
75
74 kgAndreoli
77
73 kg
10
78 kgSchutz
47
72 kgPeffgen
62
67 kgMealli
66
73 kgBailetti
72
70 kgZanin
75
74 kgAndreoli
77
73 kg
Weight (KG) →
Result →
78
67
10
77
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | GIMONDI Felice | 78 |
| 47 | SCHUTZ Edy | 72 |
| 62 | PEFFGEN Wilfried | 67 |
| 66 | MEALLI Bruno | 73 |
| 72 | BAILETTI Antonio | 70 |
| 75 | ZANIN Mario | 74 |
| 77 | ANDREOLI Severino | 73 |