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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Noval
1
72 kgJackowiak
2
65 kgRosato
8
57 kgHewes
23
69 kgFrigo
24
68 kgJordan
25
61 kg
1
72 kgJackowiak
2
65 kgRosato
8
57 kgHewes
23
69 kgFrigo
24
68 kgJordan
25
61 kg
Weight (KG) →
Result →
72
57
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAL Benjamín | 72 |
| 2 | JACKOWIAK Jan Michal | 65 |
| 8 | ROSATO Giacomo | 57 |
| 23 | HEWES Alex | 69 |
| 24 | FRIGO Davide | 68 |
| 25 | JORDAN Ayden | 61 |