The data points are a little closer for a weak correlation, and you can see that there is some sort of relationship between these factors.
Data points for a strong correlation are in close proximity to one another, making it possible to build a line by imitating their pattern.
A statistic called correlation gauges how much two variables change in connection to one another.
Correlation and diversification, the idea that certain types of risk can be reduced by investing in assets that are not connected, are closely related concepts.
Correlation cannot determine whether x causes y or vice versa, or whether a third component is responsible for the association.
A scatter plot may make it easier to spot correlation, particularly when the variables have a non-linear but nevertheless significant association.
Learn more about correlation here:
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Answer:
200
Step-by-step explanation:
15% × ? = 30
? =
30 ÷ 15% =
30 ÷ (15 ÷ 100) =
(100 × 30) ÷ 15 =
3,000 ÷ 15 =
200
Answer:
The answer should be B
Step-by-step explanation:
to find the net change you need to do final minus initial. So the final would be Jakarta and the initial would be Hong Kong. so just subtract Jakarta's latitude from Hong Kong's and the same for longitude
