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 = -1.1 * weight + 82
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Rangel
1
63 kgRagonessi
4
67 kgQuishpe
12
70 kgCastaño
22
66 kgNieto
27
58 kg
1
63 kgRagonessi
4
67 kgQuishpe
12
70 kgCastaño
22
66 kgNieto
27
58 kg
Weight (KG) →
Result →
70
58
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RANGEL Hector Hugo | 63 |
| 4 | RAGONESSI José | 67 |
| 12 | QUISHPE Carlos Eduardo | 70 |
| 22 | CASTAÑO Erick | 66 |
| 27 | NIETO Edgar | 58 |