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 - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Reyes
1
55 kgHiguita
2
57 kgOsorio
4
65 kgAguirre
5
55 kgSierra
9
66 kgSalvador
11
58 kgScheulen
17
73 kg
1
55 kgHiguita
2
57 kgOsorio
4
65 kgAguirre
5
55 kgSierra
9
66 kgSalvador
11
58 kgScheulen
17
73 kg
Weight (KG) →
Result →
73
55
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REYES Aldemar | 55 |
| 2 | HIGUITA Sergio | 57 |
| 4 | OSORIO Juan Felipe | 65 |
| 5 | AGUIRRE Hernán Ricardo | 55 |
| 9 | SIERRA Yecid Arturo | 66 |
| 11 | SALVADOR Marcelo | 58 |
| 17 | SCHEULEN Marvin | 73 |