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 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Strazzer
1
68 kgDekker
4
66 kgBlijlevens
6
70 kgHamburger
7
58 kgSmetanine
8
69 kgFagnini
10
70 kg
1
68 kgDekker
4
66 kgBlijlevens
6
70 kgHamburger
7
58 kgSmetanine
8
69 kgFagnini
10
70 kg
Weight (KG) →
Result →
70
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STRAZZER Massimo | 68 |
| 4 | DEKKER Erik | 66 |
| 6 | BLIJLEVENS Jeroen | 70 |
| 7 | HAMBURGER Bo | 58 |
| 8 | SMETANINE Serguei | 69 |
| 10 | FAGNINI Gian Matteo | 70 |