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 = 0.8 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Brenes
1
66 kgGuamá
2
61 kgChumil
9
62 kgParra
20
51 kgRivera
21
56 kgAlba
55
59 kgRodas
65
68 kg
1
66 kgGuamá
2
61 kgChumil
9
62 kgParra
20
51 kgRivera
21
56 kgAlba
55
59 kgRodas
65
68 kg
Weight (KG) →
Result →
68
51
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENES Sebastian | 66 |
| 2 | GUAMÁ Byron | 61 |
| 9 | CHUMIL Sergio Geovani | 62 |
| 20 | PARRA Heiner Rodrigo | 51 |
| 21 | RIVERA Kevin | 56 |
| 55 | ALBA Juan Diego | 59 |
| 65 | RODAS Manuel | 68 |