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 = 2.6 * weight - 138
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Beyer
16
63 kgMancebo
20
64 kgMédici
35
70 kgMiraballes
65
76 kgRamos
67
65 kg
16
63 kgMancebo
20
64 kgMédici
35
70 kgMiraballes
65
76 kgRamos
67
65 kg
Weight (KG) →
Result →
76
63
16
67
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | BEYER Chad | 63 |
| 20 | MANCEBO Francisco | 64 |
| 35 | MÉDICI Matías | 70 |
| 65 | MIRABALLES Wilder Sergio | 76 |
| 67 | RAMOS Kléber | 65 |