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 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Carrigan
2
60 kgSpratt
8
55 kgWood
9
56 kgMullens
20
57 kgRoy
24
66 kgNeylan
27
52 kg
2
60 kgSpratt
8
55 kgWood
9
56 kgMullens
20
57 kgRoy
24
66 kgNeylan
27
52 kg
Weight (KG) →
Result →
66
52
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARRIGAN Sara | 60 |
| 8 | SPRATT Amanda | 55 |
| 9 | WOOD Oenone | 56 |
| 20 | MULLENS Peta | 57 |
| 24 | ROY Sarah | 66 |
| 27 | NEYLAN Rachel | 52 |