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 - 27
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Konovalovas
1
74 kgVaitkus
2
75 kgŠiškevičius
3
80 kgNavardauskas
4
79 kg
1
74 kgVaitkus
2
75 kgŠiškevičius
3
80 kgNavardauskas
4
79 kg
Weight (KG) →
Result →
80
74
1
4
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONOVALOVAS Ignatas | 74 |
| 2 | VAITKUS Tomas | 75 |
| 3 | ŠIŠKEVIČIUS Evaldas | 80 |
| 4 | NAVARDAUSKAS Ramūnas | 79 |