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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Baumann
1
72 kgGeorge
2
61 kgVan Der Berg
6
68 kgPoitschke
10
73 kgMcLeod
11
66 kgKannemeyer
12
67 kg
1
72 kgGeorge
2
61 kgVan Der Berg
6
68 kgPoitschke
10
73 kgMcLeod
11
66 kgKannemeyer
12
67 kg
Weight (KG) →
Result →
73
61
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUMANN Eric | 72 |
| 2 | GEORGE David | 61 |
| 6 | VAN DER BERG Johan | 68 |
| 10 | POITSCHKE Enrico | 73 |
| 11 | MCLEOD Ian | 66 |
| 12 | KANNEMEYER Tiaan | 67 |