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 = 2.4 * weight - 147
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Coppi
1
72 kgBartali
5
69 kgOckers
6
61 kgImpanis
25
69 kgVan Steenbergen
38
83 kgBevilacqua
69
80 kg
1
72 kgBartali
5
69 kgOckers
6
61 kgImpanis
25
69 kgVan Steenbergen
38
83 kgBevilacqua
69
80 kg
Weight (KG) →
Result →
83
61
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 5 | BARTALI Gino | 69 |
| 6 | OCKERS Stan | 61 |
| 25 | IMPANIS Raymond | 69 |
| 38 | VAN STEENBERGEN Rik | 83 |
| 69 | BEVILACQUA Antonio | 80 |