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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ayazbayev
1
75 kgKamyshev
4
67 kgKnaup
7
61 kgStalnov
8
63 kgArndt
12
77.5 kgCholakov
20
66 kg
1
75 kgKamyshev
4
67 kgKnaup
7
61 kgStalnov
8
63 kgArndt
12
77.5 kgCholakov
20
66 kg
Weight (KG) →
Result →
77.5
61
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AYAZBAYEV Maxat | 75 |
| 4 | KAMYSHEV Arman | 67 |
| 7 | KNAUP Tobias | 61 |
| 8 | STALNOV Nikita | 63 |
| 12 | ARNDT Nikias | 77.5 |
| 20 | CHOLAKOV Stanimir | 66 |