Correlation and Regression Flashcards
Types of correlation (Type 2 - 2 types)
Linear & Non-linear
It is a nonparametric measure of the strength and direction of association that exists between two variables measured on at
least an ordinal scale.
Spearman rank-order correlation coefficient
A correlation of +1 indicates a ______________ correlation.
perfect positive
It deals with the estimation of one variable based on the changes or movements of the other variables. It helps solve problems concerning prediction, estimation and forecasting.
Regression Analysis
The three methods of studying correlation
- Scatter Diagram Method
- Karl Pearson Coefficient Correlation of Method
- Spearman’s Rank Correlation Method
Interpretation for value of r between ± 0.20 to ± 0.39
Low correlation
It is a type of correlation that involves two independent and one dependent variable.
Simple
Types of correlation (Type 3 - 3 types)
Simple, multiple, partial
It is a type of correlation that involves one dependent variable and more than one independent variable but only one independent variable is considered and other independent variables are considered constant.
Partial
It is a method of statistical evaluation used to study the strength of a relationship between two, numerically measured, continuous variables (e.g. height and weight).
Correlation analysis
Correlation lies between __ to __.
+1, -1
Interpretation for value of r between ± 0.80 to ± 0.99
High correlation
A ____________ indicates that there is no relationship between the variables.
zero correlation
It is a type of correlation that involves one independent and more than one independent variables.
Multiple
Interpretation for value of r between ± 0.01 to ± 0.19
Negligible correlation
Types of correlation (Type 1 - 4 types)
Positive
Negative
No
Perfect
Interpretation for value of r between ± 0.40 to ± 0.59
Moderate correlation
It is the measure of the strength of the linear relationship between two variables that is defined in terms of the (sample) covariance of the variables divided by their (sample) standard deviations.
Coefficient of Correlation (r)
Interpretation for value of r between ± 0.60 to ± 0.79
Moderately high correlation
If X and Y are correlated variables and we want to predict or estimate the value of Y given the value of X, we have to find the _____________ that describes the relationship between the two variables.
regression equation
A correlation of -1 indicates a _____________ correlation.
perfect negative
To estimate if a relationship exists between two variables, this method is done by plotting the point corresponding to each observation on a rectangular coordinate system.
Scatter diagram
