The following table gives the annual revenue for two different companies (in billions of dollars) for a 10-year period. Graph the boxplots for both companies on the same scale. Are the distributions similar? Year Company A Company B 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 O 100 102 93 101 102 105 98 100 83 79 52 60 60 60 65 70 80 83 86 89 What are the five-number summaries for both companies? Company A: Q2 =O Q2 =0 Min = Q, =| Q3 = Max = Company B: Min = Q, = Max = 모모 모모
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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