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 = -1.3 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Stahurskaya
1
69 kgBonanomi
7
60 kgMarsal
10
53 kgVysotska
24
55 kgBloch-Davidov
31
59 kgCorneo
32
54 kg
1
69 kgBonanomi
7
60 kgMarsal
10
53 kgVysotska
24
55 kgBloch-Davidov
31
59 kgCorneo
32
54 kg
Weight (KG) →
Result →
69
53
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 7 | BONANOMI Roberta | 60 |
| 10 | MARSAL Catherine | 53 |
| 24 | VYSOTSKA Ievgeniia | 55 |
| 31 | BLOCH-DAVIDOV Shani | 59 |
| 32 | CORNEO Sigrid | 54 |