b) Do you think a linear model is appropriate? Explain. O A. The scatterplot shows points in a tightly clustered single stream that form a straight line, so a linear regression is definitely appropriate. B. The scatterplot appears to have slight curvature at one end of the age distribution, so a linear regression may not be completely appropriate. O C. The scatterplot does not show any discernable trend or pattern, so a linear regression is definitely not appropriate. O D. The scatterplot shows a curved line, so a linear regression is not appropriate unless the variables are transformed to make the scatterplot more linear. c) Find the equation of the regression line. Browsing Time =+Age (Round the constant to one decimal place as needed. Round the Age coefficient to three decimal places as needed.)
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.
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