Determine whether the following bivariate data are correlated or not. If they are correlated, tell the direction of the association. Evaluate whether correlation is most likely strong or weak. 1. time spent in a supermarket and money spent 2. income and value of car driven 3. number of children and time spent cleaning the house by the mother
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.
Determine whether the following bivariate data are correlated or not. If they are correlated, tell the direction of the association. Evaluate whether
1. time spent in a supermarket and money spent
2. income and value of car driven
3. number of children and time spent cleaning the house by the mother
4. amount spent on gas and distance traveled by car each week
5. age and reaction time of persons over 18 years of age
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