The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retal Sales 85.851 3 108.426 141.781 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. 220 210 200 190 180 170 160 15 140 130 120 100 90 12 15 80 Use the above scatter plot to decide whether the linear model fits the data well. O The function is not a good model for the data OThe function is a good model for the data. Estimate the retails sales in the U. S. in 2016. billions of dollars. Use the model to predict the year in which retails sates will be $237 billion. Question Helo: Message in
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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