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 - 33
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Lašinis
2
69 kgKmieliauskas
3
68 kgJanuškevičius
5
72 kgBalčiūnas
6
75 kgDžervus
7
77 kg
2
69 kgKmieliauskas
3
68 kgJanuškevičius
5
72 kgBalčiūnas
6
75 kgDžervus
7
77 kg
Weight (KG) →
Result →
77
68
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAŠINIS Venantas | 69 |
| 3 | KMIELIAUSKAS Rokas | 68 |
| 5 | JANUŠKEVIČIUS Mantas | 72 |
| 6 | BALČIŪNAS Mantas | 75 |
| 7 | DŽERVUS Darijus | 77 |