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 = 1.4 * weight - 77
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Florez
1
63 kgColorado
2
61 kgZapata
5
62 kgGomez
14
64.5 kgAvila
17
70 kgVélez
18
66 kgQuintero
21
62 kg
1
63 kgColorado
2
61 kgZapata
5
62 kgGomez
14
64.5 kgAvila
17
70 kgVélez
18
66 kgQuintero
21
62 kg
Weight (KG) →
Result →
70
61
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLOREZ Samuel | 63 |
| 2 | COLORADO William | 61 |
| 5 | ZAPATA Mauricio | 62 |
| 14 | GOMEZ Camilo Andres | 64.5 |
| 17 | AVILA Freddy Alejandro | 70 |
| 18 | VÉLEZ Cristian Damián | 66 |
| 21 | QUINTERO Juan Diego | 62 |