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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Karpenko
1
77 kgÄrm
2
75 kgPajur
3
72 kgVahtra
5
85 kgNisu
6
84 kgMärtson
12
90 kgPiho
13
61 kgUulimaa
14
69 kg
1
77 kgÄrm
2
75 kgPajur
3
72 kgVahtra
5
85 kgNisu
6
84 kgMärtson
12
90 kgPiho
13
61 kgUulimaa
14
69 kg
Weight (KG) →
Result →
90
61
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARPENKO Gleb | 77 |
| 2 | ÄRM Rait | 75 |
| 3 | PAJUR Markus | 72 |
| 5 | VAHTRA Norman | 85 |
| 6 | NISU Oskar | 84 |
| 12 | MÄRTSON Märt-Martin | 90 |
| 13 | PIHO Kail | 61 |
| 14 | UULIMAA Ats | 69 |