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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Marín
4
55 kgMaya
5
58 kgChacón
7
63 kgGuevara
15
65 kgGonzález
19
55 kgGil Martinez
36
60 kgRojas
55
58 kg
4
55 kgMaya
5
58 kgChacón
7
63 kgGuevara
15
65 kgGonzález
19
55 kgGil Martinez
36
60 kgRojas
55
58 kg
Weight (KG) →
Result →
65
55
4
55
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MARÍN Ruber Alveiro | 55 |
| 5 | MAYA Carlos Alberto | 58 |
| 7 | CHACÓN José Isidro | 63 |
| 15 | GUEVARA Manuel Enrique | 65 |
| 19 | GONZÁLEZ Freddy Excelino | 55 |
| 36 | GIL MARTINEZ Tomas Aurelio | 60 |
| 55 | ROJAS Juan Carlos | 58 |