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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Arvanitou
1
71 kgBouglas
2
71 kgTzortzakis
4
80 kgIlias
5
69 kgTzannis
16
69 kgKampouris
22
76 kg
1
71 kgBouglas
2
71 kgTzortzakis
4
80 kgIlias
5
69 kgTzannis
16
69 kgKampouris
22
76 kg
Weight (KG) →
Result →
80
69
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARVANITOU Nikiforos | 71 |
| 2 | BOUGLAS Georgios | 71 |
| 4 | TZORTZAKIS Polychronis | 80 |
| 5 | ILIAS Periklis | 69 |
| 16 | TZANNIS Kimon | 69 |
| 22 | KAMPOURIS Nikolaos | 76 |