A researcher is studying the relationship between egalitarianism and support for increasing the minimum wage. (Egalitarianism is the principle that people should generally have equal economic and social outcomes or status.) They found a correlation between being egalitarian and supporting a higher minimum wage, r = .34. When they conducted a hypothesis test (two-tailed α = .05), they found that the exact p-value for this correlation was .003. What is the substantive conclusion the researcher draws?
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.
A researcher is studying the relationship between egalitarianism and support for increasing the minimum wage. (Egalitarianism is the principle that people should generally have equal economic and social outcomes or status.) They found a
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