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 + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Casagrande
7
64 kgChiappucci
10
67 kgTafi
11
73 kgLelli
14
69 kgUgrumov
15
58 kgInduráin
16
76 kgBelli
19
64 kg
7
64 kgChiappucci
10
67 kgTafi
11
73 kgLelli
14
69 kgUgrumov
15
58 kgInduráin
16
76 kgBelli
19
64 kg
Weight (KG) →
Result →
76
58
7
19
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | CASAGRANDE Francesco | 64 |
| 10 | CHIAPPUCCI Claudio | 67 |
| 11 | TAFI Andrea | 73 |
| 14 | LELLI Massimiliano | 69 |
| 15 | UGRUMOV Piotr | 58 |
| 16 | INDURÁIN Miguel | 76 |
| 19 | BELLI Wladimir | 64 |