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 = 0.7 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Maya
2
58 kgMarín
4
55 kgGuevara
12
65 kgGonzález
13
55 kgGil Martinez
36
60 kgRojas
44
58 kg
2
58 kgMarín
4
55 kgGuevara
12
65 kgGonzález
13
55 kgGil Martinez
36
60 kgRojas
44
58 kg
Weight (KG) →
Result →
65
55
2
44
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAYA Carlos Alberto | 58 |
| 4 | MARÍN Ruber Alveiro | 55 |
| 12 | GUEVARA Manuel Enrique | 65 |
| 13 | GONZÁLEZ Freddy Excelino | 55 |
| 36 | GIL MARTINEZ Tomas Aurelio | 60 |
| 44 | ROJAS Juan Carlos | 58 |