(a) A researcher reports that there is no consistent relationship between grade point average and the number of hours spent studying for college students. The correlation between grade point average and the number of hours studying is an example of a) a positive correlation.b) a negative correlation. c) a correlation near zero.d) a correlation near one. (b) A positive value for a correlation indicates _____. a) increases in X tend to be accompanied by increases in Yb) increases in X tend to be accompanied by decreases in Y c) a much stronger relationship than if the correlation were negatived) a much weaker relationship than if the correlation were negative
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) A researcher reports that there is no consistent relationship between grade point average and the number of hours spent studying for college students. The
a) a positive correlation.
b) a
c) a correlation near zero.
d) a correlation near one.
(b) A positive value for a correlation indicates _____.
a) increases in X tend to be accompanied by increases in Y
b) increases in X tend to be accompanied by decreases in Y
c) a much stronger relationship than if the correlation were negative
d) a much weaker relationship than if the correlation were negative
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