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 + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Archibald
2
75 kgBarker
4
56 kgTrott
5
56 kgRowe
8
65 kgRoberts
12
61 kgJackson
23
59 kgKay
27
69 kg
2
75 kgBarker
4
56 kgTrott
5
56 kgRowe
8
65 kgRoberts
12
61 kgJackson
23
59 kgKay
27
69 kg
Weight (KG) →
Result →
75
56
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARCHIBALD Katie | 75 |
| 4 | BARKER Elinor | 56 |
| 5 | TROTT Laura | 56 |
| 8 | ROWE Danielle | 65 |
| 12 | ROBERTS Amy | 61 |
| 23 | JACKSON Karina | 59 |
| 27 | KAY Emily | 69 |