The data in the table below represents the percentage of a country's population aged 20 years or older whose age is x who do not have a high school diploma. Complete parts (a) through (c) below. 50 Age, a Pecentage without a H. S. Diploma, P 20 30 40 60 70 13.1 11.5 10.5 13.5 22.3 29.8 (a) Using a graphing utility, draw a scatter diagram of the data treating age as the independent variable. What type of relation appears to exist between age and percentage of the population without a high school diploma? Which graph below is a scatter diagram of the data? O A. OB. Oc. OD. 70- 404 70- 40- Use the graph to determine which sentence below best describes the relation between age and percentage of the population without a high school diploma. O A. There appearst be a linear relation between age and percentage. O B. There does not appear to be any relation between age and percentage. OC. There appears to be a quadratic relation between age and percentage.
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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