The scatterplot below shows the relationship between poverty rate in the 51 states in the US (including DC) and high school graduation rate. The linear equation for predicting poverty is as follows: ŷ = 64.68 – 0.62x %3D High school graduation rate for North Carolina is 81.4% and the poverty rate is 13.1%. What is the residual fo this observation? Choose the closest answer. Do not change the percents into decimals to compute the residual. 18 16- 14 12 10 8- 6- 80 85 90 % HS grad O -24.8 24.8 % in poverty
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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