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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Campos
1
67 kgLopes
2
59 kgTavares
5
58 kgSilva
8
69 kgPinto
15
65 kgMaia
17
68 kg
1
67 kgLopes
2
59 kgTavares
5
58 kgSilva
8
69 kgPinto
15
65 kgMaia
17
68 kg
Weight (KG) →
Result →
69
58
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMPOS Noah | 67 |
| 2 | LOPES Lucas | 59 |
| 5 | TAVARES Gonçalo | 58 |
| 8 | SILVA João | 69 |
| 15 | PINTO Diogo | 65 |
| 17 | MAIA Emanuel | 68 |