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 = 0.6 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Bazhkou
1
65 kgVorganov
2
65 kgButs
4
68 kgMihaylov
6
70 kgVasylyuk
8
65 kgCholakov
11
66 kgSamli
12
75 kg
1
65 kgVorganov
2
65 kgButs
4
68 kgMihaylov
6
70 kgVasylyuk
8
65 kgCholakov
11
66 kgSamli
12
75 kg
Weight (KG) →
Result →
75
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 2 | VORGANOV Eduard | 65 |
| 4 | BUTS Vitaliy | 68 |
| 6 | MIHAYLOV Nikolay | 70 |
| 8 | VASYLYUK Andriy | 65 |
| 11 | CHOLAKOV Stanimir | 66 |
| 12 | SAMLI Feritcan | 75 |