________ is a statistical technique that uses information about the relationship between an independent or predictor variable and a dependent variable to make predictions. Multiple Choice Bivariate regression analysis The non-parametric hypothesis coefficient Beta coefficient analysis Covariation Multiple regression analysis
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.
________ is a statistical technique that uses information about the relationship between an independent or predictor variable and a dependent variable to make predictions.
Multiple Choice
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Bivariate
regression analysis -
The non-parametric hypothesis coefficient
-
Beta coefficient analysis
-
Covariation -
Multiple regression analysis
In multiple regression, the value of a beta coefficient can never be greater than 1.
True or False
If the coefficient of
Multiple Choice
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-0.36.
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0.4.
-
0.36.
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-0.6.
-
0.6.
If a researcher is interested in measuring the effect of multiple independent variables on a dependent variable, he or she should use
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bivariate regression analysis.
-
the Spearman
correlation coefficient. -
multiple regression analysis.
-
simple regression.
- the Pearson correlation coefficient.
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