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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Wild
1
75 kgOlds
2
54 kgBronzini
3
54 kgConfalonieri
7
56 kgHenttala
8
58 kgDuval
10
53 kg
1
75 kgOlds
2
54 kgBronzini
3
54 kgConfalonieri
7
56 kgHenttala
8
58 kgDuval
10
53 kg
Weight (KG) →
Result →
75
53
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | OLDS Shelley | 54 |
| 3 | BRONZINI Giorgia | 54 |
| 7 | CONFALONIERI Maria Giulia | 56 |
| 8 | HENTTALA Lotta | 58 |
| 10 | DUVAL Eugénie | 53 |