0.4 + 0.2 0.0 -0.2 1980 1985 1990 1995 2000 2005 2010 Year Dependent variable is Men – Women R-squared = 56.5% s = 0.212 Variable Coefficient Intercept 53.512 Year -0.0258 Residuals
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.
ence in age at first marriage seen in Exercise 28 gotten
the data from 1980 through 2010, along with a regression
for just those years, are below.a) Is this linear model appropriate for the post-1980 data?
Explain.
b) What does the slope say about marriage ages?
c) Explain why it’s not reasonable to interpret the
y-intercept.
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