Is there a linear relationship between educational attainment and annual salary? a. Draw the scatterplot for the variables. b. Describe the relationship, if any, shown by the scatterplot. c. Calculate r, the correlation coefficient. How does the correlation coefficient compare to the relationship you saw in the scatterplot? Number of Years 7 9 6 7 11 12 11 3 3 7 9 1 Salary (in Dollars) $48,897 $62,866 $54,585 $56,611 $53,541 $53,541 $47,027 $47,970 $46,668 $48,029 $46,735 $45,000 Is there a linear correlation between a mathematics instructor’s years of experience and his or her annual salary? a. Draw the scatterplot for the variables. b. Describe the relationship, if any, shown by the scatterplot. c. Calculate r, the correlation coefficient. How does the correlation coefficient compare to the relationship you saw in the scatterplot?
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.
Is there a linear relationship between educational attainment and annual salary? a. Draw the scatterplot for the variables. b. Describe the relationship, if any, shown by the scatterplot. c. Calculate r, the
Number of Years 7 9 6 7 11 12 11 3 3 7 9 1
Salary (in Dollars) $48,897 $62,866 $54,585 $56,611 $53,541 $53,541 $47,027 $47,970 $46,668 $48,029 $46,735 $45,000
Is there a
a. Draw the scatterplot for the variables.
b. Describe the relationship, if any, shown by the scatterplot.
c. Calculate r, the correlation coefficient.
How does the correlation coefficient compare to the relationship you saw in the scatterplot?
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