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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Nazaret
2
65 kgSevilla
4
62 kgRamos
11
65 kgOchoa
13
61 kgFacchini
16
70 kg
2
65 kgSevilla
4
62 kgRamos
11
65 kgOchoa
13
61 kgFacchini
16
70 kg
Weight (KG) →
Result →
70
61
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NAZARET Magno | 65 |
| 4 | SEVILLA Óscar | 62 |
| 11 | RAMOS Kléber | 65 |
| 13 | OCHOA Diego Antonio | 61 |
| 16 | FACCHINI Patrick | 70 |