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 = 1.8 * weight - 99
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Mancebo
4
64 kgBeyer
11
63 kgMédici
15
70 kgMiraballes
35
76 kgRamos
48
65 kgMonteiro
49
77 kg
4
64 kgBeyer
11
63 kgMédici
15
70 kgMiraballes
35
76 kgRamos
48
65 kgMonteiro
49
77 kg
Weight (KG) →
Result →
77
63
4
49
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MANCEBO Francisco | 64 |
| 11 | BEYER Chad | 63 |
| 15 | MÉDICI Matías | 70 |
| 35 | MIRABALLES Wilder Sergio | 76 |
| 48 | RAMOS Kléber | 65 |
| 49 | MONTEIRO Gideoni Rodrigues | 77 |