A sociologist is interested in the relation between ?, the number of job changes and ?, the annual salary (in thousands of dollars) for people living in the Nashville area. A random sample of 10 people employed in Nashville provided the following information: ? 4 7 5 6 1 5 9 10 10 3 ? 33 37 34 32 32 38 43 37 40 33 What does the slope of the regression equation represent in terms of the annual salary? Identify any outliers or potential influential observations. Explain your reasoning. Identify the predictor and response variables. r2 = r= Interpret the meaning of r2 and how useful the regression equation is for making predictions. Please explain what kind of problem this is and how to solve it using a Ti83 calculator. Thank you
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.
A sociologist is interested in the relation between ?,
the number of job changes and ?, the annual salary
(in thousands of dollars) for people living in the
Nashville area. A random sample of 10 people
employed in Nashville provided the following
information:
? 4 7 5 6 1 5 9 10 10 3
? 33 37 34 32 32 38 43 37 40 33
What does the slope of the regression equation
represent in terms of the annual salary?
Identify any outliers or potential influential
observations. Explain your reasoning.
Identify the predictor and response variables.
r2 =
r=
Interpret the meaning of r2 and how useful the
regression equation is for making predictions.
Please explain what kind of problem this is and how to solve it using a Ti83 calculator.
Thank you
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