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 + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bouglas
1
71 kgTzortzakis
4
80 kgArvanitou
5
71 kgIlias
10
69 kgTzannis
15
69 kgNtanovasilis
24
59 kgKampouris
26
76 kg
1
71 kgTzortzakis
4
80 kgArvanitou
5
71 kgIlias
10
69 kgTzannis
15
69 kgNtanovasilis
24
59 kgKampouris
26
76 kg
Weight (KG) →
Result →
80
59
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUGLAS Georgios | 71 |
| 4 | TZORTZAKIS Polychronis | 80 |
| 5 | ARVANITOU Nikiforos | 71 |
| 10 | ILIAS Periklis | 69 |
| 15 | TZANNIS Kimon | 69 |
| 24 | NTANOVASILIS Konstantinos | 59 |
| 26 | KAMPOURIS Nikolaos | 76 |