Year 1965 1970 1975 1980 1985 1990 1995 2000 2005 2009 Rate 19.4 18.4 14.8 15.9 15.6 16.4 14.8 14.4 14.0 13.5
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.
births per 1000 women aged 15–44 years in the United
tistics, www.cdc.gov/nchs/)
rates. (Enter Year as years since 1900: 65, 70, 75, etc.)
c) Check to see if the line is an appropriate model. Explain.
d) Interpret the slope of the line.
e) The table gives rates only at 5-year intervals. Estimate
what the rate was in 1978.
f) In 1978, the birthrate was actually 15.0. How close did
your model come?
g) Predict what the Birthrate will be in 2010. Comment
on your faith in this prediction.
h) Predict the Birthrate for 2025. Comment on your faith
in this prediction.
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