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Multivariate analysis include at least ______ variables
3

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.
Regression

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
higher

_____ indicated a perfect correlation.
r= 1.00

When there is a perfect correlation between two variables, we need only measure _____ to know the value of the other
one

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.
Linear regression

