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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Boyarskaya
6
67 kgBurchenkova
11
67 kgDronova-Balabolina
13
63 kgKhatuntseva
14
54 kgMartisova
18
64 kg
6
67 kgBurchenkova
11
67 kgDronova-Balabolina
13
63 kgKhatuntseva
14
54 kgMartisova
18
64 kg
Weight (KG) →
Result →
67
54
6
18
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BOYARSKAYA Natalia | 67 |
| 11 | BURCHENKOVA Alexandra | 67 |
| 13 | DRONOVA-BALABOLINA Tamara | 63 |
| 14 | KHATUNTSEVA Gulnaz | 54 |
| 18 | MARTISOVA Julia | 64 |