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 = -1.4 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Tamouridis
1
70 kgTzortzakis
2
80 kgIlias
4
69 kgBouglas
11
71 kgTzannis
43
69 kg
1
70 kgTzortzakis
2
80 kgIlias
4
69 kgBouglas
11
71 kgTzannis
43
69 kg
Weight (KG) →
Result →
80
69
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMOURIDIS Ioannis | 70 |
| 2 | TZORTZAKIS Polychronis | 80 |
| 4 | ILIAS Periklis | 69 |
| 11 | BOUGLAS Georgios | 71 |
| 43 | TZANNIS Kimon | 69 |