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.
Risky Drivers The following table gives the policereported crashes per million miles traveled for different
age groups.
a. Create a
the age of the drivers and y equal to the number of
crashes per million miles travel.
b. Find the quartic function that is the best fit for the
data, where x is the age of the drivers and y equals
the number of crashes per million miles traveled.
Report the model with four significant digits.
c. Graph the function and the data on the same set of
axes, for x = 15 to x = 85.
d. At what ages is the number of crashes less than 3,
according to the model?
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