1) A researcher wants to determine whether the death rate (number of deaths per 1,000 people) could be predicted based on physician availability (number of physicians per 100,000 residents). He collected data from 15 communities across the United States. The data are as follows: Death Rate |(#/1,000) 8 Physician Availability (#/100,000) 284 9.3 433 7.5 739 8.9 1792 10.2 477 8.3 362 8.8 671 8.8 636 10.7 329 11.7 634 8.5 631 8.3 257 8.2 284 7.9 603 10.3 686
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.
What percent of the variability in the response variable is explained by the explanatory variable? Is the relationship between the two variables significant or not? Show your work.
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