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 = -1.8 * weight + 113
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Fahlin
1
63 kgWrubleski
2
55 kgHobson
18
55 kgAbbott
21
52 kgBeveridge
24
55 kg
1
63 kgWrubleski
2
55 kgHobson
18
55 kgAbbott
21
52 kgBeveridge
24
55 kg
Weight (KG) →
Result →
63
52
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAHLIN Emilia | 63 |
| 2 | WRUBLESKI Alex | 55 |
| 18 | HOBSON Leigh | 55 |
| 21 | ABBOTT Mara | 52 |
| 24 | BEVERIDGE Julie | 55 |