The table shows the number of internet users worldwide since 1994. Internet Users (millions) Year Users (A) Let x represent the number of years since 1994 and find an exponential regression model (y = ab*) for this data set. 2.4 1994 1997 17.5 (B) Use the model to estimate the number of hosts in 2029 (to the nearest million). 2000 67.2 2003 173.2 2006 397.4 2009 624.0 2012 914.5
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.
(A) Write the regression equation y = abx
y = ___ x ___x
(B) In the exponential equation y = ____ x _____x, x represents the number of years from 1994 to 2029
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