Identifying individuals with a high risk of Alzheimer’s disease usually involves a long series of cognitive tests. However, researchers have developed a 7-Minute Screen, which is a quick and easy way to accomplish the same goal. To assess if the 7-Minute Screen is as effective as the complete series of tests, a researcher administered both tests to a group of ten patients and got a correlation coefficient of 0.84. How do you interpret this coefficient?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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Identifying individuals with a high risk of Alzheimer’s disease usually involves a long series of cognitive tests. However, researchers have developed a 7-Minute Screen, which is a quick and easy way to accomplish the same goal. To assess if the 7-Minute Screen is as effective as the complete series of tests, a researcher administered both tests to a group of ten patients and got a
correlation coefficient of 0.84. How do you interpret this coefficient?a. There is a strong positive association between these tests.
b. There is a negative association between these tests.
c. There is a significant association between these tests.
d. There is no association between these tests.
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