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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mizurov
1
68 kgKashechkin
2
70 kgIglinskiy
3
67 kgMuravyev
4
75 kgBazayev
8
62 kg
1
68 kgKashechkin
2
70 kgIglinskiy
3
67 kgMuravyev
4
75 kgBazayev
8
62 kg
Weight (KG) →
Result →
75
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZUROV Andrey | 68 |
| 2 | KASHECHKIN Andrey | 70 |
| 3 | IGLINSKIY Maxim | 67 |
| 4 | MURAVYEV Dmitriy | 75 |
| 8 | BAZAYEV Assan | 62 |