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 + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
LeMond
1
67 kgSwart
3
74 kgZberg
4
72 kgMarín
7
55 kgFignon
8
67 kgJulich
10
68 kgBugno
11
68 kgArmstrong
12
72 kg
1
67 kgSwart
3
74 kgZberg
4
72 kgMarín
7
55 kgFignon
8
67 kgJulich
10
68 kgBugno
11
68 kgArmstrong
12
72 kg
Weight (KG) →
Result →
74
55
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 3 | SWART Steve | 74 |
| 4 | ZBERG Beat | 72 |
| 7 | MARÍN Ruber Alveiro | 55 |
| 8 | FIGNON Laurent | 67 |
| 10 | JULICH Bobby | 68 |
| 11 | BUGNO Gianni | 68 |
| 12 | ARMSTRONG Lance | 72 |