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 + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Moser
2
79 kgConti
3
79 kgBaronchelli
5
72 kgKnudsen
10
79 kgRiccomi
13
66 kgRitter
22
74 kg
2
79 kgConti
3
79 kgBaronchelli
5
72 kgKnudsen
10
79 kgRiccomi
13
66 kgRitter
22
74 kg
Weight (KG) →
Result →
79
66
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 3 | CONTI Tino | 79 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 10 | KNUDSEN Knut | 79 |
| 13 | RICCOMI Walter | 66 |
| 22 | RITTER Ole | 74 |