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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Teutenberg
1
64 kgAbbott
4
52 kgWrubleski
8
55 kgBeveridge
12
55 kgKiesanowski
13
56 kgFahlin
21
63 kg
1
64 kgAbbott
4
52 kgWrubleski
8
55 kgBeveridge
12
55 kgKiesanowski
13
56 kgFahlin
21
63 kg
Weight (KG) →
Result →
64
52
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUTENBERG Ina-Yoko | 64 |
| 4 | ABBOTT Mara | 52 |
| 8 | WRUBLESKI Alex | 55 |
| 12 | BEVERIDGE Julie | 55 |
| 13 | KIESANOWSKI Joanne | 56 |
| 21 | FAHLIN Emilia | 63 |