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 + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Goldstein
1
63 kgEinhorn
2
72 kgYechezkel
3
70 kgSagiv
7
68 kgGoldstein
8
61 kgHalabi
19
66 kg
1
63 kgEinhorn
2
72 kgYechezkel
3
70 kgSagiv
7
68 kgGoldstein
8
61 kgHalabi
19
66 kg
Weight (KG) →
Result →
72
61
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOLDSTEIN Roy | 63 |
| 2 | EINHORN Itamar | 72 |
| 3 | YECHEZKEL Aviv | 70 |
| 7 | SAGIV Guy | 68 |
| 8 | GOLDSTEIN Omer | 61 |
| 19 | HALABI Shadi | 66 |