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 = -0.6 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Stahurskaya
1
69 kgCappellotto
2
60 kgCarrara
8
64 kgDoppmann
10
55 kgCarrigan
17
60 kg
1
69 kgCappellotto
2
60 kgCarrara
8
64 kgDoppmann
10
55 kgCarrigan
17
60 kg
Weight (KG) →
Result →
69
55
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 2 | CAPPELLOTTO Alessandra | 60 |
| 8 | CARRARA Vera | 64 |
| 10 | DOPPMANN Priska | 55 |
| 17 | CARRIGAN Sara | 60 |