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.
Pankova
1
52 kgLechner
2
52 kgKröger
5
77 kgBatagelj
7
53 kgSandig
8
62 kgVysotska
9
55 kgRitter
10
59 kg
1
52 kgLechner
2
52 kgKröger
5
77 kgBatagelj
7
53 kgSandig
8
62 kgVysotska
9
55 kgRitter
10
59 kg
Weight (KG) →
Result →
77
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PANKOVA Larisa | 52 |
| 2 | LECHNER Eva | 52 |
| 5 | KRÖGER Mieke | 77 |
| 7 | BATAGELJ Polona | 53 |
| 8 | SANDIG Madeleine | 62 |
| 9 | VYSOTSKA Ievgeniia | 55 |
| 10 | RITTER Martina | 59 |