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 = -2.7 * weight + 233
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Lira
9
79 kgFagúndez
13
67 kgMaldonado
32
61 kgNazaret
56
65 kgLinarez
63
74 kgNavarro
72
62 kgDiaz
114
61 kg
9
79 kgFagúndez
13
67 kgMaldonado
32
61 kgNazaret
56
65 kgLinarez
63
74 kgNavarro
72
62 kgDiaz
114
61 kg
Weight (KG) →
Result →
79
61
9
114
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | LIRA Manuel | 79 |
| 13 | FAGÚNDEZ Eric Antonio | 67 |
| 32 | MALDONADO Anderson Samuel | 61 |
| 56 | NAZARET Magno | 65 |
| 63 | LINAREZ Leangel Rubén | 74 |
| 72 | NAVARRO Royner | 62 |
| 114 | DIAZ Daniel | 61 |