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 = 0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dronova-Balabolina
13
63 kgLudwig
19
55 kgPrieto
31
54 kgCasagranda
39
58 kgLaporta
48
62 kg
13
63 kgLudwig
19
55 kgPrieto
31
54 kgCasagranda
39
58 kgLaporta
48
62 kg
Weight (KG) →
Result →
63
54
13
48
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | DRONOVA-BALABOLINA Tamara | 63 |
| 19 | LUDWIG Hannah | 55 |
| 31 | PRIETO Marcela Elizabeth | 54 |
| 39 | CASAGRANDA Andrea | 58 |
| 48 | LAPORTA Linda | 62 |