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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Wood
1
59 kgSimmonds
2
55 kgBarnes
3
52 kgBanks
4
62 kgMeakin
6
67 kgLowden
7
55 kgArchibald
13
75 kg
1
59 kgSimmonds
2
55 kgBarnes
3
52 kgBanks
4
62 kgMeakin
6
67 kgLowden
7
55 kgArchibald
13
75 kg
Weight (KG) →
Result →
75
52
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOOD Alice | 59 |
| 2 | SIMMONDS Hayley | 55 |
| 3 | BARNES Hannah | 52 |
| 4 | BANKS Elizabeth | 62 |
| 6 | MEAKIN Emily | 67 |
| 7 | LOWDEN Joscelin | 55 |
| 13 | ARCHIBALD Katie | 75 |