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 = -0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Peák
1
74 kgValter
2
65 kgPelikán
3
76 kgFetter
4
70 kgFilutás
5
68 kgSzalay
7
76 kgDina
9
67 kg
1
74 kgValter
2
65 kgPelikán
3
76 kgFetter
4
70 kgFilutás
5
68 kgSzalay
7
76 kgDina
9
67 kg
Weight (KG) →
Result →
76
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEÁK Barnabás | 74 |
| 2 | VALTER Attila | 65 |
| 3 | PELIKÁN János | 76 |
| 4 | FETTER Erik | 70 |
| 5 | FILUTÁS Viktor | 68 |
| 7 | SZALAY Daniel | 76 |
| 9 | DINA Márton | 67 |