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 - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Deignan
2
57 kgTrott
5
56 kgBarker
7
56 kgBarnes
9
52 kgRowe
13
65 kgArchibald
15
75 kgSimmonds
17
55 kgRoberts
22
61 kg
2
57 kgTrott
5
56 kgBarker
7
56 kgBarnes
9
52 kgRowe
13
65 kgArchibald
15
75 kgSimmonds
17
55 kgRoberts
22
61 kg
Weight (KG) →
Result →
75
52
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEIGNAN Elizabeth | 57 |
| 5 | TROTT Laura | 56 |
| 7 | BARKER Elinor | 56 |
| 9 | BARNES Hannah | 52 |
| 13 | ROWE Danielle | 65 |
| 15 | ARCHIBALD Katie | 75 |
| 17 | SIMMONDS Hayley | 55 |
| 22 | ROBERTS Amy | 61 |