A geographer conducts a study of the relationship between the level of economic development of a nation measured in thousands of dollars for per capita GDP) and the birth rate (average number of children per adult woman). For one analysis of the data, a part of the computer printout reports Statistic Value SE Correlation -0.460 0.170 Explain how to interpret the reported value of the correlation. b. Can you tell whether the sign of the slope in the corresponding prediction equation would be positive or negative? Why? c. Suppose the prediction equation were ý=5.6-0.1x. Interpret the slope, and show how to find the predicted
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.
3-A geographer conducts a study of the relationship between the level of economic development of a nation measured in thousands of dollars for per capita GDP) and the birth rate (average number of children per adult woman). For one analysis of the data, a part of the computer printout reports Statistic Value SE
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