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 = 1.5 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Baranowski
1
68 kgRumšas
2
64 kgWadecki
8
70 kgSarkauskas
11
74 kgRomanik
12
62 kgBochkov
13
67 kgChmielewski
48
72 kg
1
68 kgRumšas
2
64 kgWadecki
8
70 kgSarkauskas
11
74 kgRomanik
12
62 kgBochkov
13
67 kgChmielewski
48
72 kg
Weight (KG) →
Result →
74
62
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARANOWSKI Dariusz | 68 |
| 2 | RUMŠAS Raimondas | 64 |
| 8 | WADECKI Piotr | 70 |
| 11 | SARKAUSKAS Saulius | 74 |
| 12 | ROMANIK Radosław | 62 |
| 13 | BOCHKOV Alexander | 67 |
| 48 | CHMIELEWSKI Piotr | 72 |