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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Kmieliauskas
1
68 kgMasiulis
2
71 kgKelmelis
3
78 kgMatuzevičius
5
69 kgJanuškevičius
7
72 kg
1
68 kgMasiulis
2
71 kgKelmelis
3
78 kgMatuzevičius
5
69 kgJanuškevičius
7
72 kg
Weight (KG) →
Result →
78
68
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KMIELIAUSKAS Rokas | 68 |
| 2 | MASIULIS Denas | 71 |
| 3 | KELMELIS Aristidas | 78 |
| 5 | MATUZEVIČIUS Žygimantas | 69 |
| 7 | JANUŠKEVIČIUS Mantas | 72 |