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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Florez
1
63 kgAvila
2
70 kgQuintero
3
62 kgColorado
7
61 kgVargas
9
65 kgGordillo
21
62 kgGomez
22
64.5 kg
1
63 kgAvila
2
70 kgQuintero
3
62 kgColorado
7
61 kgVargas
9
65 kgGordillo
21
62 kgGomez
22
64.5 kg
Weight (KG) →
Result →
70
61
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLOREZ Samuel | 63 |
| 2 | AVILA Freddy Alejandro | 70 |
| 3 | QUINTERO Juan Diego | 62 |
| 7 | COLORADO William | 61 |
| 9 | VARGAS Brayan | 65 |
| 21 | GORDILLO Emerson Ronaldo | 62 |
| 22 | GOMEZ Camilo Andres | 64.5 |