Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration (parts per million, ppm) in the drinking water. ..... b) Here isne regression analysis of mortality and calcium concentration. What is the regression equation? Dependent variable is: Mortality R-Squared =61.2% s= 63.877 Variable Intercept Calcium (ppm) Coefficient SE (Coeff) t-ratio P-value 1707.214 30.21 56.51 <0.0001 0.22 -5.21 <0.0001 - 1.147 c) Interpret the slope of this line in context. O A. For each additional point in Mortality, the model predicts an increase of 1.147 points in Calcium (ppm). ndol predicts a decrease of 1.147 points in Calcium (ppm).
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.
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