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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Cheula
7
62 kgKashechkin
9
70 kgSchleck
10
65 kgLjungblad
12
70 kgScarponi
15
62 kgSoutham
18
69 kgAdamsson
38
68 kg
7
62 kgKashechkin
9
70 kgSchleck
10
65 kgLjungblad
12
70 kgScarponi
15
62 kgSoutham
18
69 kgAdamsson
38
68 kg
Weight (KG) →
Result →
70
62
7
38
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | CHEULA Giampaolo | 62 |
| 9 | KASHECHKIN Andrey | 70 |
| 10 | SCHLECK Fränk | 65 |
| 12 | LJUNGBLAD Jonas | 70 |
| 15 | SCARPONI Michele | 62 |
| 18 | SOUTHAM Tom | 69 |
| 38 | ADAMSSON Stefan | 68 |