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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Deignan
1
57 kgTrott
2
56 kgRowe
3
65 kgLaws
6
54 kgBarker
10
56 kgRoberts
12
61 kgBarnes
15
52 kgMartin
23
57 kg
1
57 kgTrott
2
56 kgRowe
3
65 kgLaws
6
54 kgBarker
10
56 kgRoberts
12
61 kgBarnes
15
52 kgMartin
23
57 kg
Weight (KG) →
Result →
65
52
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEIGNAN Elizabeth | 57 |
| 2 | TROTT Laura | 56 |
| 3 | ROWE Danielle | 65 |
| 6 | LAWS Sharon | 54 |
| 10 | BARKER Elinor | 56 |
| 12 | ROBERTS Amy | 61 |
| 15 | BARNES Hannah | 52 |
| 23 | MARTIN Lucy | 57 |