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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mudgway
1
65 kgChristensen
2
63 kgMonk
3
67 kgOram
4
68 kgOliver
7
71 kgVine
11
69 kgWhitehouse
18
58 kgBatt
19
76 kg
1
65 kgChristensen
2
63 kgMonk
3
67 kgOram
4
68 kgOliver
7
71 kgVine
11
69 kgWhitehouse
18
58 kgBatt
19
76 kg
Weight (KG) →
Result →
76
58
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUDGWAY Luke | 65 |
| 2 | CHRISTENSEN Ryan | 63 |
| 3 | MONK Cyrus | 67 |
| 4 | ORAM James | 68 |
| 7 | OLIVER Ben | 71 |
| 11 | VINE Jay | 69 |
| 18 | WHITEHOUSE Daniel | 58 |
| 19 | BATT Ethan | 76 |