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 = 1.6 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Panizo
17
72 kgGálviz
21
65 kgAffonso
35
63 kgAlmonacid
42
60 kgBulgarelli
45
69 kgSepulveda
48
66 kgMonteiro
79
77 kg
17
72 kgGálviz
21
65 kgAffonso
35
63 kgAlmonacid
42
60 kgBulgarelli
45
69 kgSepulveda
48
66 kgMonteiro
79
77 kg
Weight (KG) →
Result →
77
60
17
79
| # | Rider | Weight (KG) |
|---|---|---|
| 17 | PANIZO Gregolry | 72 |
| 21 | GÁLVIZ Carlos Johan | 65 |
| 35 | AFFONSO Murilo | 63 |
| 42 | ALMONACID Patricio | 60 |
| 45 | BULGARELLI Otavio | 69 |
| 48 | SEPULVEDA Luis Fernando | 66 |
| 79 | MONTEIRO Gideoni Rodrigues | 77 |