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Statistics: Scatter Plots, Correlation and Regression Analysis, Quizzes of Business Statistics

Definitions and explanations of key terms related to scatter plots, correlation analysis, and regression analysis. Topics include the relationship between independent and dependent variables, simple linear regression models, types of relationships, regression equations, and assumptions of regression lines. The document also covers the interpretation of slopes and intercepts, sums of squares, and t-tests for checking linear relationships and significance of individual variables.

Typology: Quizzes

2011/2012

Uploaded on 05/10/2012

maiya-davis
maiya-davis 🇺🇸

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Download Statistics: Scatter Plots, Correlation and Regression Analysis and more Quizzes Business Statistics in PDF only on Docsity! TERM 1 Scatter Plot DEFINITION 1 can be used to show the relationship between two variables TERM 2 Correlation Analysis DEFINITION 2 is used to measure the strength of the association (linear relationship) between two variables TERM 3 Regression Analysis DEFINITION 3 used to predict the value of a dependent variable based on the value of at least one independent variableexplain the impact of changes in an independent variable on the dependent variable TERM 4 Dependent Variable DEFINITION 4 the variable we wish to predict or explain TERM 5 Independent Variable DEFINITION 5 the variable used to predict or explain the dependent variable TERM 6 Simple Linear Regression Model DEFINITION 6 - only one independent variable, x-relationship between x and y is described by a liner function-changes in Y are assumed to be related to changes in X TERM 7 Types of Relationships DEFINITION 7 LinearCurvilinear TERM 8 Y= Bo + BiXi + Ei DEFINITION 8 y= dependent variableBo= population, y interceptBi=population slope coefficientXi=independent variableEi=random error term TERM 9 Simple Linear Regression Equation DEFINITION 9 provides an estimate of the population regression line TERM 10 Finding the Least Squares Equation DEFINITION 10 The coefficient Bo and Bi and other regression results in this chapter, will be found using Excel
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