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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Stahurskaya
1
69 kgVžesniauskaitė
2
57 kgGuderzo
3
54 kgLjungskog
5
57 kgSoeder
6
52 kgArndt
10
59 kg
1
69 kgVžesniauskaitė
2
57 kgGuderzo
3
54 kgLjungskog
5
57 kgSoeder
6
52 kgArndt
10
59 kg
Weight (KG) →
Result →
69
52
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 2 | VŽESNIAUSKAITĖ Modesta | 57 |
| 3 | GUDERZO Tatiana | 54 |
| 5 | LJUNGSKOG Susanne | 57 |
| 6 | SOEDER Christiane | 52 |
| 10 | ARNDT Judith | 59 |