U.S. Visitors (millions) U.S. Visitors (millions) Year Year 1986 26 2000 50.9 1987 29.5 2001 44.9 1988 34.1 2002 41.9 1989 36.6 2003 41.2 1990 39.5 2004 46.1 1991 43 2005 49.4 1992 47.3 2006 51.0 1994 45.5 2007 56.0 1995 44 2008 57.9 1996 46.3 2010 55 1997 48.9
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.
International Visitors The number of international
visitors to the United States for selected years 1986–
2010 is given in the table below.
If you had to pick one of these models to predict
the number of international visitors in the year
2020, which model would be the more reasonable
choice?
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