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 = -1.6 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Peña
3
65 kgOspina
5
62 kgLaverde
6
63 kgArdila
8
58 kgOrjuela
9
60 kgCárdenas
22
59 kg
3
65 kgOspina
5
62 kgLaverde
6
63 kgArdila
8
58 kgOrjuela
9
60 kgCárdenas
22
59 kg
Weight (KG) →
Result →
65
58
3
22
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PEÑA Victor Hugo | 65 |
| 5 | OSPINA Dalivier | 62 |
| 6 | LAVERDE Luis Felipe | 63 |
| 8 | ARDILA Mauricio Alberto | 58 |
| 9 | ORJUELA Fernando | 60 |
| 22 | CÁRDENAS Félix Rafael | 59 |