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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mizurov
1
68 kgKireyev
2
66 kgZeits
3
73 kgFofonov
4
65 kgGourov
5
75 kgGruzdev
8
78 kgMiraliyev
16
68 kg
1
68 kgKireyev
2
66 kgZeits
3
73 kgFofonov
4
65 kgGourov
5
75 kgGruzdev
8
78 kgMiraliyev
16
68 kg
Weight (KG) →
Result →
78
65
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZUROV Andrey | 68 |
| 2 | KIREYEV Roman | 66 |
| 3 | ZEITS Andrey | 73 |
| 4 | FOFONOV Dmitriy | 65 |
| 5 | GOUROV Maxim | 75 |
| 8 | GRUZDEV Dmitriy | 78 |
| 16 | MIRALIYEV Sultanmurat | 68 |