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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Räim
1
69 kgLauk
2
69 kgJakin
3
71 kgPajur
4
72 kgNisu
6
84 kgVahtra
8
85 kgKiskonen
10
64 kg
1
69 kgLauk
2
69 kgJakin
3
71 kgPajur
4
72 kgNisu
6
84 kgVahtra
8
85 kgKiskonen
10
64 kg
Weight (KG) →
Result →
85
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RÄIM Mihkel | 69 |
| 2 | LAUK Karl Patrick | 69 |
| 3 | JAKIN Alo | 71 |
| 4 | PAJUR Markus | 72 |
| 6 | NISU Oskar | 84 |
| 8 | VAHTRA Norman | 85 |
| 10 | KISKONEN Siim | 64 |