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 = 1.1 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Henderson
1
58 kgSteels
2
55 kgBarker
3
56 kgSimmonds
7
55 kgLee
8
53 kgWood
10
59 kgGreenwood
14
60 kgTacey
15
62 kg
1
58 kgSteels
2
55 kgBarker
3
56 kgSimmonds
7
55 kgLee
8
53 kgWood
10
59 kgGreenwood
14
60 kgTacey
15
62 kg
Weight (KG) →
Result →
62
53
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENDERSON Anna | 58 |
| 2 | STEELS Claire | 55 |
| 3 | BARKER Elinor | 56 |
| 7 | SIMMONDS Hayley | 55 |
| 8 | LEE Lucy | 53 |
| 10 | WOOD Alice | 59 |
| 14 | GREENWOOD Monica | 60 |
| 15 | TACEY April | 62 |