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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Konovalovas
1
74 kgBagdonas
2
78 kgNavardauskas
3
79 kgŠiškevičius
4
80 kgVaitkus
6
75 kgŠiškevičius
8
70 kg
1
74 kgBagdonas
2
78 kgNavardauskas
3
79 kgŠiškevičius
4
80 kgVaitkus
6
75 kgŠiškevičius
8
70 kg
Weight (KG) →
Result →
80
70
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONOVALOVAS Ignatas | 74 |
| 2 | BAGDONAS Gediminas | 78 |
| 3 | NAVARDAUSKAS Ramūnas | 79 |
| 4 | ŠIŠKEVIČIUS Evaldas | 80 |
| 6 | VAITKUS Tomas | 75 |
| 8 | ŠIŠKEVIČIUS Paulius | 70 |