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 - 41
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Rumšas
1
64 kgVaitkus
2
75 kgKonovalovas
3
74 kgBagdonas
7
78 kgKruopis
11
80 kgSabaliauskas
18
76 kg
1
64 kgVaitkus
2
75 kgKonovalovas
3
74 kgBagdonas
7
78 kgKruopis
11
80 kgSabaliauskas
18
76 kg
Weight (KG) →
Result →
80
64
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUMŠAS Raimondas | 64 |
| 2 | VAITKUS Tomas | 75 |
| 3 | KONOVALOVAS Ignatas | 74 |
| 7 | BAGDONAS Gediminas | 78 |
| 11 | KRUOPIS Aidis | 80 |
| 18 | SABALIAUSKAS Marius | 76 |