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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Hall
1
52 kgAbbott
2
52 kgArmstrong
3
58 kgPoidevin
4
56 kgDuehring
7
54 kgVillumsen
8
59 kg
1
52 kgAbbott
2
52 kgArmstrong
3
58 kgPoidevin
4
56 kgDuehring
7
54 kgVillumsen
8
59 kg
Weight (KG) →
Result →
59
52
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALL Katie | 52 |
| 2 | ABBOTT Mara | 52 |
| 3 | ARMSTRONG Kristin | 58 |
| 4 | POIDEVIN Sara | 56 |
| 7 | DUEHRING Jasmin | 54 |
| 8 | VILLUMSEN Linda | 59 |