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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Teutenberg
1
64 kgNumainville
4
65 kgWrubleski
5
55 kgKiesanowski
9
56 kgRyan
15
59 kgKasper
17
59 kgFahlin
18
63 kg
1
64 kgNumainville
4
65 kgWrubleski
5
55 kgKiesanowski
9
56 kgRyan
15
59 kgKasper
17
59 kgFahlin
18
63 kg
Weight (KG) →
Result →
65
55
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUTENBERG Ina-Yoko | 64 |
| 4 | NUMAINVILLE Joëlle | 65 |
| 5 | WRUBLESKI Alex | 55 |
| 9 | KIESANOWSKI Joanne | 56 |
| 15 | RYAN Kendall | 59 |
| 17 | KASPER Romy | 59 |
| 18 | FAHLIN Emilia | 63 |