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Chapter 14: Correlation and Regression - Coggle Diagram
Chapter 14: Correlation and Regression
Correlation- statistical technique used to measure and describe the relationship between two variables
Perfect Correlation- relationship of 1.00, indicating an exactly consistent relationship
Outlier- extreme datum point
Restricted Range- set of scores that do not represent the full range of possible values
Positive Correlation- relationship in which two variables tend to change in the same direction
Pearson Correlation- measure of the degree and the direction of the linear relationship between two variables
Linear Relationship- indicator of how well the data points fit a straight rule
Sum of Products of Deviations- measure of the amount of covariability between two variables
Negative Correlation- correlation in which two variables tend to go in opposite directions
Spearman Correlation- relationship between two variables when both are measured in ordinal scales
Monotonic Relationship- consistently one-directional relationship between two variables
Phi-coefficient- relationship between two variables when both measured for each individual are dichotomous
Coefficient of Determination- measure of proportion of variability in one variable determined from the relationship with another variable
Point-biseral Correlation- relationship between two variables, one consisting of regular scores and the second having two values
Dichotomous Variable- quantity with only two values
Linear Relationship- equation expressed by the equation Y = bX + a
Slope- value which determines how much Y variable changes when X is increased by one point
Y-intercept- value which determines the value of Y when X = 0
Least-squared-error Solution- best-fitting rule with the smallest total squared error
Regression- statistical technique for finding the best-fitting straight rule for a set of data
Regression Equation for Y- linear equation
Analysis of Regression- process of testing the significance of a regression equation
Standard Error of Estimate- measure of standard distance between predicted Y values on regression line and actual Y values