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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Herzog
1
74 kgJohn
4
65 kgBock
6
56 kgKitzki
7
70 kgBrenner
18
57 kgGroß
25
67 kgScheitinger
26
77 kgLeu
31
80 kg
1
74 kgJohn
4
65 kgBock
6
56 kgKitzki
7
70 kgBrenner
18
57 kgGroß
25
67 kgScheitinger
26
77 kgLeu
31
80 kg
Weight (KG) →
Result →
80
56
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERZOG Emil | 74 |
| 4 | JOHN Vincent | 65 |
| 6 | BOCK Max | 56 |
| 7 | KITZKI Louis | 70 |
| 18 | BRENNER Mauro | 57 |
| 25 | GROß Matteo | 67 |
| 26 | SCHEITINGER Linus | 77 |
| 31 | LEU Richard | 80 |