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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Melchers
1
59 kgDoppmann
3
55 kgLjungskog
5
57 kgCarrigan
7
60 kgRossner
8
64 kgReekie-may
9
53 kgKupfernagel
11
68 kg
1
59 kgDoppmann
3
55 kgLjungskog
5
57 kgCarrigan
7
60 kgRossner
8
64 kgReekie-may
9
53 kgKupfernagel
11
68 kg
Weight (KG) →
Result →
68
53
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MELCHERS Mirjam | 59 |
| 3 | DOPPMANN Priska | 55 |
| 5 | LJUNGSKOG Susanne | 57 |
| 7 | CARRIGAN Sara | 60 |
| 8 | ROSSNER Petra | 64 |
| 9 | REEKIE-MAY Roz | 53 |
| 11 | KUPFERNAGEL Hanka | 68 |