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 = 0.9 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Amialiusik
1
53 kgScandolara
3
52 kgFerrier-Bruneau
4
53 kgPitel
7
52 kgAntoshina
8
55 kgValsecchi
9
58 kg
1
53 kgScandolara
3
52 kgFerrier-Bruneau
4
53 kgPitel
7
52 kgAntoshina
8
55 kgValsecchi
9
58 kg
Weight (KG) →
Result →
58
52
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMIALIUSIK Alena | 53 |
| 3 | SCANDOLARA Valentina | 52 |
| 4 | FERRIER-BRUNEAU Christel | 53 |
| 7 | PITEL Edwige | 52 |
| 8 | ANTOSHINA Tatiana | 55 |
| 9 | VALSECCHI Silvia | 58 |