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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Petrov
4
70 kgMarkov
7
80 kgKarpets
10
79 kgMenchov
11
65 kgSmetanine
13
69 kgKlimov
15
69 kg
4
70 kgMarkov
7
80 kgKarpets
10
79 kgMenchov
11
65 kgSmetanine
13
69 kgKlimov
15
69 kg
Weight (KG) →
Result →
80
65
4
15
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PETROV Evgeni | 70 |
| 7 | MARKOV Alexei | 80 |
| 10 | KARPETS Vladimir | 79 |
| 11 | MENCHOV Denis | 65 |
| 13 | SMETANINE Serguei | 69 |
| 15 | KLIMOV Sergey | 69 |