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 + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Moser
1
79 kgKnudsen
2
79 kgGimondi
3
78 kgBaronchelli
4
72 kgSaronni
5
65 kgJohansson
6
71 kgSchuiten
8
83 kg
1
79 kgKnudsen
2
79 kgGimondi
3
78 kgBaronchelli
4
72 kgSaronni
5
65 kgJohansson
6
71 kgSchuiten
8
83 kg
Weight (KG) →
Result →
83
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | KNUDSEN Knut | 79 |
| 3 | GIMONDI Felice | 78 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 5 | SARONNI Giuseppe | 65 |
| 6 | JOHANSSON Bernt | 71 |
| 8 | SCHUITEN Roy | 83 |