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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Induráin
1
76 kgVirenque
2
65 kgSpruch
5
68 kgJärmann
7
73 kgRobin
8
63 kgJalabert
9
66 kgBoardman
10
70 kg
1
76 kgVirenque
2
65 kgSpruch
5
68 kgJärmann
7
73 kgRobin
8
63 kgJalabert
9
66 kgBoardman
10
70 kg
Weight (KG) →
Result →
76
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | INDURÁIN Miguel | 76 |
| 2 | VIRENQUE Richard | 65 |
| 5 | SPRUCH Zbigniew | 68 |
| 7 | JÄRMANN Rolf | 73 |
| 8 | ROBIN Jean-Cyril | 63 |
| 9 | JALABERT Laurent | 66 |
| 10 | BOARDMAN Chris | 70 |