5. Application a) Create a scatter plot of time spent watching television versus number of books owned. b) Characterize the correlation. c) Perform a linear regression and record the correlation coefficient. Does this support your answer to part b)? Explain. 6. Repeat the analysis performed in #5 for a) time spent on the Internet versus number of books owned b) time spent on the Internet versus time spent watching television
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.
Use the table to answer #5 and #6.
5. Application
a) Create a
watching television versus number of
books owned.
b) Characterize the
c) Perform a linear regression and record
the
support your answer to part b)? Explain.
6. Repeat the analysis performed in #5 for
a) time spent on the Internet versus number
of books owned
b) time spent on the Internet versus time
spent watching television
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