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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Petrov
1
70 kgKarpets
3
79 kgMarkov
4
80 kgSmetanine
6
69 kgKlimov
9
69 kgSerov
11
77 kgEskov
12
73 kgBrutt
15
70 kg
1
70 kgKarpets
3
79 kgMarkov
4
80 kgSmetanine
6
69 kgKlimov
9
69 kgSerov
11
77 kgEskov
12
73 kgBrutt
15
70 kg
Weight (KG) →
Result →
80
69
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Evgeni | 70 |
| 3 | KARPETS Vladimir | 79 |
| 4 | MARKOV Alexei | 80 |
| 6 | SMETANINE Serguei | 69 |
| 9 | KLIMOV Sergey | 69 |
| 11 | SEROV Alexander | 77 |
| 12 | ESKOV Nikita | 73 |
| 15 | BRUTT Pavel | 70 |