A researcher wanted to learn more about the relationship between whether or not a student getting less than 8 hours of sleep the night before a test determines whether or not they pass their test the next day. a)What is the explanatory variable in this study? -Whether or not the student passed his/her test -Whether or not a student got less than 8 hours of sleep the night before a test -The number of students who got less than 8 hours of sleep the night before a test -The number of students who passed their test b) What type of relationship is this? -C --> C -Q --> C -Q --> Q -C --> Q
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 wanted to learn more about the relationship between whether or not a student getting less than 8 hours of sleep the night before a test determines whether or not they pass their test the next day.
a)What is the explanatory variable in this study?
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