X - Variable 43 34 33 41 39 13 19 50 Y - Variable 615 644 648 622 628 713 694 592 Which statement best describes the relationship between the variables? There is a constant correlation. There is no correlation. There is a uniform correlation. There is a negative correlation. There is a positive correlation.
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.
X - Variable
43
34
33
41
39
13
19
50
Y - Variable
615
644
648
622
628
713
694
592
Which statement best describes the relationship between the variables?
There is a constant
There is no correlation.
There is a uniform correlation.
There is a
There is a
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