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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Baronchelli
1
72 kgVandi
2
64 kgMoser
4
79 kgJohansson
7
71 kgGimondi
8
78 kgSaronni
10
65 kg
1
72 kgVandi
2
64 kgMoser
4
79 kgJohansson
7
71 kgGimondi
8
78 kgSaronni
10
65 kg
Weight (KG) →
Result →
79
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | VANDI Alfio | 64 |
| 4 | MOSER Francesco | 79 |
| 7 | JOHANSSON Bernt | 71 |
| 8 | GIMONDI Felice | 78 |
| 10 | SARONNI Giuseppe | 65 |