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 * weight + 86
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Stahurskaya
9
69 kgVysotska
20
55 kgMarsal
25
53 kgBonanomi
29
60 kgCorneo
35
54 kgBloch-Davidov
51
59 kg
9
69 kgVysotska
20
55 kgMarsal
25
53 kgBonanomi
29
60 kgCorneo
35
54 kgBloch-Davidov
51
59 kg
Weight (KG) →
Result →
69
53
9
51
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | STAHURSKAYA Zinaida | 69 |
| 20 | VYSOTSKA Ievgeniia | 55 |
| 25 | MARSAL Catherine | 53 |
| 29 | BONANOMI Roberta | 60 |
| 35 | CORNEO Sigrid | 54 |
| 51 | BLOCH-DAVIDOV Shani | 59 |