You want to know if cat owners or dog owners sleep longer. You recruit a group of cat owners and a group of dog owners and measure their sleep using a biofeedback watch (including how many hours of sleep they get each night. What type of statistical analysis would you use to answer this question? Single-sample t-test Dependent Samples t-test Independent Samples t-test One-way ANOVA Bivariate Correlation Bivariate Linear Regression
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.
You want to know if cat owners or dog owners sleep longer. You recruit a group of cat owners and a group of dog owners and measure their sleep using a biofeedback watch (including how many hours of sleep they get each night. What type of statistical analysis would you use to answer this question?
Single-sample t-test
Dependent Samples t-test
Independent Samples t-test
One-way ANOVA
Bivariate
Bivariate Linear Regression
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