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 = 1.9 * weight - 113
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Coppi
1
72 kgBartali
4
69 kgOckers
6
61 kgVan Steenbergen
44
83 kgBini
70
72 kg
1
72 kgBartali
4
69 kgOckers
6
61 kgVan Steenbergen
44
83 kgBini
70
72 kg
Weight (KG) →
Result →
83
61
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 4 | BARTALI Gino | 69 |
| 6 | OCKERS Stan | 61 |
| 44 | VAN STEENBERGEN Rik | 83 |
| 70 | BINI Aldo | 72 |