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 = -3.4 * weight + 263
This means that on average for every extra kilogram weight a rider loses -3.4 positions in the result.
Bouglas
1
71 kgTamouridis
3
70 kgTzortzakis
5
80 kgTriantafyllou
21
73 kgTzannis
47
69 kgPantazis
61
65 kg
1
71 kgTamouridis
3
70 kgTzortzakis
5
80 kgTriantafyllou
21
73 kgTzannis
47
69 kgPantazis
61
65 kg
Weight (KG) →
Result →
80
65
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUGLAS Georgios | 71 |
| 3 | TAMOURIDIS Ioannis | 70 |
| 5 | TZORTZAKIS Polychronis | 80 |
| 21 | TRIANTAFYLLOU Andreas | 73 |
| 47 | TZANNIS Kimon | 69 |
| 61 | PANTAZIS Vasileios | 65 |