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 = -0.4 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Stahurskaya
1
69 kgCappellotto
4
60 kgStiajkina
5
51 kgBonanomi
9
60 kgMarsal
13
53 kgLe Floc'h
15
59 kg
1
69 kgCappellotto
4
60 kgStiajkina
5
51 kgBonanomi
9
60 kgMarsal
13
53 kgLe Floc'h
15
59 kg
Weight (KG) →
Result →
69
51
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 4 | CAPPELLOTTO Alessandra | 60 |
| 5 | STIAJKINA Tatiana | 51 |
| 9 | BONANOMI Roberta | 60 |
| 13 | MARSAL Catherine | 53 |
| 15 | LE FLOC'H Magali | 59 |