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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Cantele
1
58 kgFernandes
5
54 kgArndt
6
59 kgLichtenberg
9
52 kgVisser
12
59 kgTreier
13
62 kgMeng
14
65 kg
1
58 kgFernandes
5
54 kgArndt
6
59 kgLichtenberg
9
52 kgVisser
12
59 kgTreier
13
62 kgMeng
14
65 kg
Weight (KG) →
Result →
65
52
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANTELE Noemi | 58 |
| 5 | FERNANDES Clemilda | 54 |
| 6 | ARNDT Judith | 59 |
| 9 | LICHTENBERG Claudia | 52 |
| 12 | VISSER Adrie | 59 |
| 13 | TREIER Grete | 62 |
| 14 | MENG Lang | 65 |