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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rumšas
2
64 kgBalčiūnas
4
90 kgKairelis
5
63 kgKruopis
6
80 kgVaitkus
7
75 kgSabaliauskas
15
76 kgKonovalovas
16
74 kg
2
64 kgBalčiūnas
4
90 kgKairelis
5
63 kgKruopis
6
80 kgVaitkus
7
75 kgSabaliauskas
15
76 kgKonovalovas
16
74 kg
Weight (KG) →
Result →
90
63
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RUMŠAS Raimondas | 64 |
| 4 | BALČIŪNAS Linas | 90 |
| 5 | KAIRELIS Dainius | 63 |
| 6 | KRUOPIS Aidis | 80 |
| 7 | VAITKUS Tomas | 75 |
| 15 | SABALIAUSKAS Marius | 76 |
| 16 | KONOVALOVAS Ignatas | 74 |