7+ 6 + 4 + 3+ 1850 1900 1950 2000 Year built Dependent variable is Condition R-squared = 42.54% s = 0.7603 Variable Coefficient Constant -36.0501 Year 0.021048 HDI
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.
dition as found by inspection. Below is a graph of data.
oldest covered bridge in daily use in New York State was
built in 1853 and was recently judged to have a condition
of 4.523. Another bridge with a rating of 5.4 was built in
tionship using all 196 bridges.
oldest bridge, what would its residual be?
We removed the 1853 and 1865 bridges from the analysis
and here are the results:
R@squared = 46.55, s = 0.7354
Variable Coefficient
Constant -40.7546
Year 0.02343
b) How were these two old bridges affecting the
regression?
c) The 1853 bridge was extensively restored in 1972.
Does that better explain its condition?
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