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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Novak
1
70 kgGlivar
2
64 kgMohorič
3
71 kgPrimožič
4
60 kgGovekar
10
73 kgFinkšt
11
70 kgPavlič
14
65 kg
1
70 kgGlivar
2
64 kgMohorič
3
71 kgPrimožič
4
60 kgGovekar
10
73 kgFinkšt
11
70 kgPavlič
14
65 kg
Weight (KG) →
Result →
73
60
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAK Domen | 70 |
| 2 | GLIVAR Gal | 64 |
| 3 | MOHORIČ Matej | 71 |
| 4 | PRIMOŽIČ Jaka | 60 |
| 10 | GOVEKAR Matevž | 73 |
| 11 | FINKŠT Tilen | 70 |
| 14 | PAVLIČ Marko | 65 |