For the scatter plot below describe the type of as reasonable estimate for the value for the correlation coefficient r. Explain how you determined what the appropriate value for the correlation coefficient should be. 180 160 140 120 100 80 60 40 20 80 100 120 140 160 180
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.
As "x" is increasing "y" is also increasing and the data is not very far away from each other
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