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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fondriest
7
70 kgMoser
9
79 kgAlgeri
11
68 kgSaronni
12
65 kgCenghialta
16
73 kgGavazzi
19
67 kg
7
70 kgMoser
9
79 kgAlgeri
11
68 kgSaronni
12
65 kgCenghialta
16
73 kgGavazzi
19
67 kg
Weight (KG) →
Result →
79
65
7
19
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | FONDRIEST Maurizio | 70 |
| 9 | MOSER Francesco | 79 |
| 11 | ALGERI Vittorio | 68 |
| 12 | SARONNI Giuseppe | 65 |
| 16 | CENGHIALTA Bruno | 73 |
| 19 | GAVAZZI Pierino | 67 |