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 + 63
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
López
1
59 kgVargas
1
69 kgContreras
2
68 kgCamargo
3
65 kgMartínez
4
63 kgGarzon
10
62 kgRivera
13
60 kgMendez
15
57 kg
1
59 kgVargas
1
69 kgContreras
2
68 kgCamargo
3
65 kgMartínez
4
63 kgGarzon
10
62 kgRivera
13
60 kgMendez
15
57 kg
Weight (KG) →
Result →
69
57
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Miguel Ángel | 59 |
| 1 | VARGAS Walter | 69 |
| 2 | CONTRERAS Rodrigo | 68 |
| 3 | CAMARGO Diego Andrés | 65 |
| 4 | MARTÍNEZ Daniel Felipe | 63 |
| 10 | GARZON Marlon David | 62 |
| 13 | RIVERA Brandon Smith | 60 |
| 15 | MENDEZ Daniel Alejandro | 57 |