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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
De Vlaeminck
1
74 kgKnudsen
2
79 kgMoser
5
79 kgMaertens
6
65 kgRitter
7
74 kgBaronchelli
15
72 kgRiccomi
16
66 kg
1
74 kgKnudsen
2
79 kgMoser
5
79 kgMaertens
6
65 kgRitter
7
74 kgBaronchelli
15
72 kgRiccomi
16
66 kg
Weight (KG) →
Result →
79
65
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | KNUDSEN Knut | 79 |
| 5 | MOSER Francesco | 79 |
| 6 | MAERTENS Freddy | 65 |
| 7 | RITTER Ole | 74 |
| 15 | BARONCHELLI Gianbattista | 72 |
| 16 | RICCOMI Walter | 66 |