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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Petrov
1
76 kgNijdam
3
75 kgRuiner
4
64 kgKapitonov
5
73 kgFornalczyk
6
77 kgZieliński
8
80 kgKudra
10
68 kg
1
76 kgNijdam
3
75 kgRuiner
4
64 kgKapitonov
5
73 kgFornalczyk
6
77 kgZieliński
8
80 kgKudra
10
68 kg
Weight (KG) →
Result →
80
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Aleksei | 76 |
| 3 | NIJDAM Henk | 75 |
| 4 | RUINER Arnold | 64 |
| 5 | KAPITONOV Viktor | 73 |
| 6 | FORNALCZYK Bogusław | 77 |
| 8 | ZIELIŃSKI Rajmund | 80 |
| 10 | KUDRA Jan | 68 |