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 = -0.5 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bazhkou
2
65 kgVasylyuk
4
65 kgBogdanovičs
7
68 kgHindley
8
60 kgBudyak
10
53 kgChoi
13
53 kg
2
65 kgVasylyuk
4
65 kgBogdanovičs
7
68 kgHindley
8
60 kgBudyak
10
53 kgChoi
13
53 kg
Weight (KG) →
Result →
68
53
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BAZHKOU Stanislau | 65 |
| 4 | VASYLYUK Andriy | 65 |
| 7 | BOGDANOVIČS Māris | 68 |
| 8 | HINDLEY Jai | 60 |
| 10 | BUDYAK Anatoliy | 53 |
| 13 | CHOI Hiu Fung | 53 |