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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hall
1
52 kgPoidevin
3
56 kgWilliams
4
66 kgRodriguez
5
58 kgHammes
8
54 kgPeñuela
10
53 kg
1
52 kgPoidevin
3
56 kgWilliams
4
66 kgRodriguez
5
58 kgHammes
8
54 kgPeñuela
10
53 kg
Weight (KG) →
Result →
66
52
1
10
# | Rider | Weight (KG) |
---|---|---|
1 | HALL Katie | 52 |
3 | POIDEVIN Sara | 56 |
4 | WILLIAMS Lily | 66 |
5 | RODRIGUEZ Carolina | 58 |
8 | HAMMES Kathrin | 54 |
10 | PEÑUELA Diana | 53 |