Research Multivariate Statistics
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Multivariate analysis include at least ______ variables
Multiple regression or multiple correlation analysis is used to analyze the effects of ____ or more ________ variables on a continuous _______ variable.
________ analysis is used to make predictions.
In simple regression, one _______ variable (X) is used to predict a __________ (Y)
An important feature of regression is that the ________ the correlation between 2 variables, the more accurate the prediction
_____ indicated a perfect correlation.
When there is a perfect correlation between two variables, we need only measure _____ to know the value of the other
The basic linear regression equation is:
Y' = a + bX
What is Y', a, b, X
- Y'= predicted value of variable Y
- a= intercept constant
- b=regression coeeficient
- X=actual value of variable X
Regression analysis solves for ____ and _____, and so a prediction about _____ can be made for any value of ______.
___________ is used to determine a straight- line fit to the data that minimizes deviations from the line.
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