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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kogut
1
77 kgEinhorn
2
72 kgTene
3
72 kgSagiv
4
68 kgRaisberg
5
67 kgYogev
7
78 kgBen Moshe
9
61 kgLoginov
13
66 kg
1
77 kgEinhorn
2
72 kgTene
3
72 kgSagiv
4
68 kgRaisberg
5
67 kgYogev
7
78 kgBen Moshe
9
61 kgLoginov
13
66 kg
Weight (KG) →
Result →
78
61
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOGUT Oded | 77 |
| 2 | EINHORN Itamar | 72 |
| 3 | TENE Rotem | 72 |
| 4 | SAGIV Guy | 68 |
| 5 | RAISBERG Nadav | 67 |
| 7 | YOGEV Alon | 78 |
| 9 | BEN MOSHE Yuval | 61 |
| 13 | LOGINOV Vladislav | 66 |