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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kiendyś
1
78 kgPawlak
2
73 kgCharucki
4
64 kgJaniaczyk
6
68 kgNavardauskas
10
79 kgWitecki
11
70 kgLisowicz
12
85 kg
1
78 kgPawlak
2
73 kgCharucki
4
64 kgJaniaczyk
6
68 kgNavardauskas
10
79 kgWitecki
11
70 kgLisowicz
12
85 kg
Weight (KG) →
Result →
85
64
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIENDYŚ Tomasz | 78 |
| 2 | PAWLAK Wojciech | 73 |
| 4 | CHARUCKI Paweł | 64 |
| 6 | JANIACZYK Błażej | 68 |
| 10 | NAVARDAUSKAS Ramūnas | 79 |
| 11 | WITECKI Mariusz | 70 |
| 12 | LISOWICZ Tomasz | 85 |