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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lauk
1
69 kgVahtra
4
85 kgKaraliok
7
75 kgLašinis
9
69 kgAniołkowski
10
68 kgBanaszek
15
75 kg
1
69 kgVahtra
4
85 kgKaraliok
7
75 kgLašinis
9
69 kgAniołkowski
10
68 kgBanaszek
15
75 kg
Weight (KG) →
Result →
85
68
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAUK Karl Patrick | 69 |
| 4 | VAHTRA Norman | 85 |
| 7 | KARALIOK Yauheni | 75 |
| 9 | LAŠINIS Venantas | 69 |
| 10 | ANIOŁKOWSKI Stanisław | 68 |
| 15 | BANASZEK Norbert | 75 |