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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Elliott
1
76 kgJalabert
4
66 kgEarley
5
62 kgWalton
7
68 kgMoreau
8
77 kgKelly
13
77 kg
1
76 kgJalabert
4
66 kgEarley
5
62 kgWalton
7
68 kgMoreau
8
77 kgKelly
13
77 kg
Weight (KG) →
Result →
77
62
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 4 | JALABERT Laurent | 66 |
| 5 | EARLEY Martin | 62 |
| 7 | WALTON Brian | 68 |
| 8 | MOREAU Francis | 77 |
| 13 | KELLY Sean | 77 |