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 + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Abbott
2
52 kgTeutenberg
3
64 kgStevens
14
55 kgBeveridge
15
55 kgWrubleski
17
55 kgFahlin
19
63 kgKiesanowski
25
56 kg
2
52 kgTeutenberg
3
64 kgStevens
14
55 kgBeveridge
15
55 kgWrubleski
17
55 kgFahlin
19
63 kgKiesanowski
25
56 kg
Weight (KG) →
Result →
64
52
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABBOTT Mara | 52 |
| 3 | TEUTENBERG Ina-Yoko | 64 |
| 14 | STEVENS Evelyn | 55 |
| 15 | BEVERIDGE Julie | 55 |
| 17 | WRUBLESKI Alex | 55 |
| 19 | FAHLIN Emilia | 63 |
| 25 | KIESANOWSKI Joanne | 56 |