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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Cappellotto
1
60 kgStahurskaya
4
69 kgCarrara
6
64 kgMarsal
7
53 kgCarrigan
10
60 kgStiajkina
11
51 kg
1
60 kgStahurskaya
4
69 kgCarrara
6
64 kgMarsal
7
53 kgCarrigan
10
60 kgStiajkina
11
51 kg
Weight (KG) →
Result →
69
51
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAPPELLOTTO Alessandra | 60 |
| 4 | STAHURSKAYA Zinaida | 69 |
| 6 | CARRARA Vera | 64 |
| 7 | MARSAL Catherine | 53 |
| 10 | CARRIGAN Sara | 60 |
| 11 | STIAJKINA Tatiana | 51 |