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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Tzortzakis
2
80 kgBouglas
5
71 kgCarstensen
7
69 kgCavanagh
8
72 kgAsadov
9
77 kgBole
10
69 kg
2
80 kgBouglas
5
71 kgCarstensen
7
69 kgCavanagh
8
72 kgAsadov
9
77 kgBole
10
69 kg
Weight (KG) →
Result →
80
69
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TZORTZAKIS Polychronis | 80 |
| 5 | BOUGLAS Georgios | 71 |
| 7 | CARSTENSEN Lucas | 69 |
| 8 | CAVANAGH Ryan | 72 |
| 9 | ASADOV Elchin | 77 |
| 10 | BOLE Grega | 69 |