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 = 1.2 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Beyer
4
63 kgMancebo
5
64 kgMédici
11
70 kgMiraballes
29
76 kgRamos
34
65 kg
4
63 kgMancebo
5
64 kgMédici
11
70 kgMiraballes
29
76 kgRamos
34
65 kg
Weight (KG) →
Result →
76
63
4
34
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BEYER Chad | 63 |
| 5 | MANCEBO Francisco | 64 |
| 11 | MÉDICI Matías | 70 |
| 29 | MIRABALLES Wilder Sergio | 76 |
| 34 | RAMOS Kléber | 65 |