a.According to the guidelines published by Cohen (1988), a correlation value of 0.4 would be considered ___. Group of answer choices medium large small b. Using the Pearson correlation coefficient to analyze the relationship between two variables is only appropriate if the variables are ____ variables. Group of answer choices one scale and one nominal nominal scale ordinal c. If all the points on a scatterplot fall on a single line, then ____. Group of answer choices the relation between the variables is perfect there is no relation between the variables the relation between the variables is weak the variables are causally related
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.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
