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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Pajur
1
78 kgRagilo
5
70 kgTamm
7
73 kgSaul
10
65 kgJürisaar
15
62 kgKarlep
18
67 kg
1
78 kgRagilo
5
70 kgTamm
7
73 kgSaul
10
65 kgJürisaar
15
62 kgKarlep
18
67 kg
Weight (KG) →
Result →
78
62
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAJUR Romet | 78 |
| 5 | RAGILO Frank Aron | 70 |
| 7 | TAMM Lauri | 73 |
| 10 | SAUL Evar | 65 |
| 15 | JÜRISAAR Tauri | 62 |
| 18 | KARLEP Georg | 67 |