The given statement about the correlation between two variables is; False
<h3>Pearson's correlation coefficient </h3>
Pearson's correlation coefficient is the measure of linear correlation between two sets of data.
Pearson's r is always between the values of -1 and +1.
In that range, -1 denotes a perfect negative while +1 denotes a perfect positive relationship and 0 denotes the perfect absence of a relationship.
Finally, Pearson's r is symmetric and as such the correlation between two variables x and y must be the same as the correlation between y and x.
Thus, if the correlation between x and y is 0.8, then the correlation between y and x must be also 0.8 and not -0.8 as the question states.
Read more about Pearson's correlation coefficient at; brainly.com/question/4117612
Explanation:
“Increase in agricultural production and the rise in the per-capita income of the rural community, together with the industrialisation and urbanisation, lead to an increased demand in industrial production”
Answer: 16.2-15.8/0.6=0.6667. Use normalcdf() to find the percentage from -999 to 0.6777 which is 0.7476*625=467
Explanation:
The long-run aggregate supply curve will shift to the right if a given economy experiences technological advancements.
<h3>What is the aggregate supply curve?</h3>
The aggregate supply curve is a graphical representation that makes reference to all processes that add value to the productive chain.
The aggregate supply curve is mainly influenced by technological inputs that increase productivity.
In conclusion, the long-run aggregate supply curve will shift to the right if a given economy experiences technological advancements.
Learn more about the aggregate supply curve here:
brainly.com/question/15100476
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