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.
Jackson
1
63 kgBarnes
3
52 kgStephens
4
55 kgDuehring
6
54 kgKirchmann
7
59 kgMiller
12
52 kgVillumsen
15
59 kg
1
63 kgBarnes
3
52 kgStephens
4
55 kgDuehring
6
54 kgKirchmann
7
59 kgMiller
12
52 kgVillumsen
15
59 kg
Weight (KG) →
Result →
63
52
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JACKSON Alison | 63 |
| 3 | BARNES Hannah | 52 |
| 4 | STEPHENS Lauren | 55 |
| 6 | DUEHRING Jasmin | 54 |
| 7 | KIRCHMANN Leah | 59 |
| 12 | MILLER Amanda | 52 |
| 15 | VILLUMSEN Linda | 59 |