Year Flights 2000 7,905,617 2001 7,626,312 2002 8,089,140 2003 9,458,818 2004 9,968,047 2005 10,038,373 2006 9,712,750 2007 9,839,578 2008 9,376,251 2009 8,753,295 2010 8,685,184
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.
Flights 2010 Here are the number of domestic flights
flown in each year from 2000 to 2010 (www.TranStats
.bts.gov).
b) Make a
able summary of the strength of the association?
![Year
Flights
2000 7,905,617
2001
7,626,312
2002
8,089,140
2003
9,458,818
2004
9,968,047
2005 10,038,373
2006
9,712,750
2007
9,839,578
2008
9,376,251
2009
8,753,295
2010
8,685,184](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F815e85c4-4137-41be-b339-53ad9b3cc951%2Fb4f653a5-4bf1-4212-8b07-1dd7b1a29406%2Fbr4wvtag.png&w=3840&q=75)
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