The table below shows the number of years after the year 2000 and the percentage of people of a country owning homes: Number of years after 2000 (x) 2 4 5 1 3 7 6 Percentage of people owning homes (y) 24% 32% 36% 20% 28% 44% 40% What is the correlation coefficient for the data, and what does it represent?
The correlation coefficient for the data represents a perfectly linear positive correlation between x and y.
What is a perfectly linear positive correlation?
It means the variable should be shifted together by having a similar percentage and direction.
Here it shows the direct relationship between two variables it can be anything like the demand for the product and the price of the product.
Hence, The correlation coefficient for the data represents a perfectly linear positive correlation between x and y.
Something that is linear is connected to a line. A line is built using all of the linear equations. A non-linear equation is one that cannot be represented by a straight line. It has a changeable slope value and resembles a graphed curve.
