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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Teutenberg
1
64 kgKiesanowski
6
56 kgWrubleski
9
55 kgBeveridge
12
55 kgAbbott
14
52 kgFahlin
22
63 kg
1
64 kgKiesanowski
6
56 kgWrubleski
9
55 kgBeveridge
12
55 kgAbbott
14
52 kgFahlin
22
63 kg
Weight (KG) →
Result →
64
52
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUTENBERG Ina-Yoko | 64 |
| 6 | KIESANOWSKI Joanne | 56 |
| 9 | WRUBLESKI Alex | 55 |
| 12 | BEVERIDGE Julie | 55 |
| 14 | ABBOTT Mara | 52 |
| 22 | FAHLIN Emilia | 63 |