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 = 0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Navarro
32
62 kgFagúndez
40
67 kgMaldonado
42
61 kgLinarez
66
74 kgDiaz
89
61 kgNazaret
103
65 kg
32
62 kgFagúndez
40
67 kgMaldonado
42
61 kgLinarez
66
74 kgDiaz
89
61 kgNazaret
103
65 kg
Weight (KG) →
Result →
74
61
32
103
| # | Rider | Weight (KG) |
|---|---|---|
| 32 | NAVARRO Royner | 62 |
| 40 | FAGÚNDEZ Eric Antonio | 67 |
| 42 | MALDONADO Anderson Samuel | 61 |
| 66 | LINAREZ Leangel Rubén | 74 |
| 89 | DIAZ Daniel | 61 |
| 103 | NAZARET Magno | 65 |