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 = 3.8 * weight - 251
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Mealli
2
73 kgRitter
3
74 kgBailetti
16
70 kgGimondi
16
78 kgBariviera
16
72 kgManza
65
78 kgZanin
75
74 kg
2
73 kgRitter
3
74 kgBailetti
16
70 kgGimondi
16
78 kgBariviera
16
72 kgManza
65
78 kgZanin
75
74 kg
Weight (KG) →
Result →
78
70
2
75
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEALLI Bruno | 73 |
| 3 | RITTER Ole | 74 |
| 16 | BAILETTI Antonio | 70 |
| 16 | GIMONDI Felice | 78 |
| 16 | BARIVIERA Vendramino | 72 |
| 65 | MANZA Ferruccio | 78 |
| 75 | ZANIN Mario | 74 |