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 - 40
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Marche
1
58 kgSpratt
4
55 kgNeylan
7
52 kgKitchen
10
60 kgAllen
15
55 kgElvin
20
63 kg
1
58 kgSpratt
4
55 kgNeylan
7
52 kgKitchen
10
60 kgAllen
15
55 kgElvin
20
63 kg
Weight (KG) →
Result →
63
52
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCHE Shara | 58 |
| 4 | SPRATT Amanda | 55 |
| 7 | NEYLAN Rachel | 52 |
| 10 | KITCHEN Lauren | 60 |
| 15 | ALLEN Jessica | 55 |
| 20 | ELVIN Gracie | 63 |