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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Adomaitis
1
88 kgLašinis
2
69 kgKonovalovas
3
74 kgJanuškevičius
4
72 kgMatuzevičius
7
69 kgBalčiūnas
9
75 kg
1
88 kgLašinis
2
69 kgKonovalovas
3
74 kgJanuškevičius
4
72 kgMatuzevičius
7
69 kgBalčiūnas
9
75 kg
Weight (KG) →
Result →
88
69
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADOMAITIS Rokas | 88 |
| 2 | LAŠINIS Venantas | 69 |
| 3 | KONOVALOVAS Ignatas | 74 |
| 4 | JANUŠKEVIČIUS Mantas | 72 |
| 7 | MATUZEVIČIUS Žygimantas | 69 |
| 9 | BALČIŪNAS Mantas | 75 |