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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lašinis
1
69 kgKmieliauskas
3
68 kgAdomaitis
4
88 kgJanuškevičius
8
72 kgMatuzevičius
11
69 kg
1
69 kgKmieliauskas
3
68 kgAdomaitis
4
88 kgJanuškevičius
8
72 kgMatuzevičius
11
69 kg
Weight (KG) →
Result →
88
68
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAŠINIS Venantas | 69 |
| 3 | KMIELIAUSKAS Rokas | 68 |
| 4 | ADOMAITIS Rokas | 88 |
| 8 | JANUŠKEVIČIUS Mantas | 72 |
| 11 | MATUZEVIČIUS Žygimantas | 69 |