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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Svorada
1
76 kgVainšteins
2
72 kgHauptman
3
70 kgNazon
4
68 kgNazon
5
74 kg
1
76 kgVainšteins
2
72 kgHauptman
3
70 kgNazon
4
68 kgNazon
5
74 kg
Weight (KG) →
Result →
76
68
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SVORADA Ján | 76 |
| 2 | VAINŠTEINS Romāns | 72 |
| 3 | HAUPTMAN Andrej | 70 |
| 4 | NAZON Damien | 68 |
| 5 | NAZON Jean-Patrick | 74 |