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 = -0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kogut
1
77 kgGoldstein
2
61 kgRaisberg
3
67 kgLoginov
4
66 kgGoldstein
5
61 kg
1
77 kgGoldstein
2
61 kgRaisberg
3
67 kgLoginov
4
66 kgGoldstein
5
61 kg
Weight (KG) →
Result →
77
61
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOGUT Oded | 77 |
| 2 | GOLDSTEIN Omer | 61 |
| 3 | RAISBERG Nadav | 67 |
| 4 | LOGINOV Vladislav | 66 |
| 5 | GOLDSTEIN Edo | 61 |