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 = 1.5 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Saronni
1
65 kgGavazzi
2
67 kgMount
9
66 kgBaronchelli
14
72 kgvan Katwijk
19
75 kgAlgeri
21
68 kg
1
65 kgGavazzi
2
67 kgMount
9
66 kgBaronchelli
14
72 kgvan Katwijk
19
75 kgAlgeri
21
68 kg
Weight (KG) →
Result →
75
65
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | GAVAZZI Pierino | 67 |
| 9 | MOUNT George | 66 |
| 14 | BARONCHELLI Gianbattista | 72 |
| 19 | VAN KATWIJK Fons | 75 |
| 21 | ALGERI Vittorio | 68 |