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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Navardauskas
1
79 kgSchmid
2
70 kgSayar
3
64 kgBalkan
8
64 kgKüçükbay
15
70 kgAnsons
16
77 kgBeniušis
17
85 kg
1
79 kgSchmid
2
70 kgSayar
3
64 kgBalkan
8
64 kgKüçükbay
15
70 kgAnsons
16
77 kgBeniušis
17
85 kg
Weight (KG) →
Result →
85
64
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARDAUSKAS Ramūnas | 79 |
| 2 | SCHMID Mauro | 70 |
| 3 | SAYAR Mustafa | 64 |
| 8 | BALKAN Serkan | 64 |
| 15 | KÜÇÜKBAY Kemal | 70 |
| 16 | ANSONS Kristers | 77 |
| 17 | BENIUŠIS Justas | 85 |