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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Saronni
1
65 kgSciandri
2
75 kgElli
3
71 kgGavazzi
5
67 kgFontanelli
6
68 kgChiappucci
16
67 kgLelli
20
69 kg
1
65 kgSciandri
2
75 kgElli
3
71 kgGavazzi
5
67 kgFontanelli
6
68 kgChiappucci
16
67 kgLelli
20
69 kg
Weight (KG) →
Result →
75
65
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | SCIANDRI Maximilian | 75 |
| 3 | ELLI Alberto | 71 |
| 5 | GAVAZZI Pierino | 67 |
| 6 | FONTANELLI Fabiano | 68 |
| 16 | CHIAPPUCCI Claudio | 67 |
| 20 | LELLI Massimiliano | 69 |