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 - 46
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Bronzini
2
54 kgOlds
3
54 kgBrand
5
57 kgD'hoore
9
63 kgDeignan
10
57 kgHosking
11
60 kgDruyts
12
62 kg
2
54 kgOlds
3
54 kgBrand
5
57 kgD'hoore
9
63 kgDeignan
10
57 kgHosking
11
60 kgDruyts
12
62 kg
Weight (KG) →
Result →
63
54
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRONZINI Giorgia | 54 |
| 3 | OLDS Shelley | 54 |
| 5 | BRAND Lucinda | 57 |
| 9 | D'HOORE Jolien | 63 |
| 10 | DEIGNAN Elizabeth | 57 |
| 11 | HOSKING Chloe | 60 |
| 12 | DRUYTS Kelly | 62 |