Which one of the following statements is TRUE regarding a Strong Positive Correlation between two data sets? ___The two data sets being compared probably have no affect on one another ___As one set of data increases in value the other set decreases in value. ___This is a good, but not conclusive, indication that the two data sets have a direct relationship with one another. ___Correlations between data sets make interesting graphs, but give no clues to any relationships between them.
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.
Which one of the following statements is TRUE regarding a Strong
___The two data sets being compared probably have no affect on one another
___As one set of data increases in value the other set decreases in value.
___This is a good, but not conclusive, indication that the two data sets have a direct relationship with one another.
___Correlations between data sets make interesting graphs, but give no clues to any relationships between them.
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