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 + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Abbott
2
52 kgStevens
3
55 kgTeutenberg
4
64 kgSmall
10
55 kgFahlin
15
63 kgMiller
17
52 kgKiesanowski
25
56 kg
2
52 kgStevens
3
55 kgTeutenberg
4
64 kgSmall
10
55 kgFahlin
15
63 kgMiller
17
52 kgKiesanowski
25
56 kg
Weight (KG) →
Result →
64
52
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABBOTT Mara | 52 |
| 3 | STEVENS Evelyn | 55 |
| 4 | TEUTENBERG Ina-Yoko | 64 |
| 10 | SMALL Carmen | 55 |
| 15 | FAHLIN Emilia | 63 |
| 17 | MILLER Amanda | 52 |
| 25 | KIESANOWSKI Joanne | 56 |