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 = -1.4 * weight + 111
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Moser
1
79 kgGavazzi
7
67 kgAlgeri
10
68 kgBaronchelli
14
72 kgSegersall
31
65 kg
1
79 kgGavazzi
7
67 kgAlgeri
10
68 kgBaronchelli
14
72 kgSegersall
31
65 kg
Weight (KG) →
Result →
79
65
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 7 | GAVAZZI Pierino | 67 |
| 10 | ALGERI Vittorio | 68 |
| 14 | BARONCHELLI Gianbattista | 72 |
| 31 | SEGERSALL Alf | 65 |