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 = 2.3 * weight - 125
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Maya
1
58 kgHenao
2
61 kgOchoa
5
62 kgGuamá
19
61 kgPedraza
20
58 kgBulgarelli
24
69 kgChacón
29
63 kgRamirez
44
71 kg
1
58 kgHenao
2
61 kgOchoa
5
62 kgGuamá
19
61 kgPedraza
20
58 kgBulgarelli
24
69 kgChacón
29
63 kgRamirez
44
71 kg
Weight (KG) →
Result →
71
58
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAYA Carlos Alberto | 58 |
| 2 | HENAO Sergio | 61 |
| 5 | OCHOA Carlos José | 62 |
| 19 | GUAMÁ Byron | 61 |
| 20 | PEDRAZA Wálter Fernando | 58 |
| 24 | BULGARELLI Otavio | 69 |
| 29 | CHACÓN José Isidro | 63 |
| 44 | RAMIREZ Federico | 71 |