MAT540 Statistical Concepts for Research QUIZ (No Guessing) #1 In the generic linear regression equation is Y = A + B*X, what does A stand for?The Predicted output variable.The input variable.The Int

MAT540 Statistical Concepts for Research QUIZ (No Guessing)

#1 In the generic linear regression equation is Y = A + B*X, what does A stand for?

The Predicted output variable.

The input variable.

The Intercept

The coefficient of the independent variable

#2 A linear regression analysis uses two distinct types of data.  The first are variables that are at least nominal level.

True

False

#3 When determining statistical significance of correlations, (as a rule of thumb), variable pairs with coefficients greater than (>) .70 are generally not very valuable for prediction. purposes.

True

False

#4 When performing a regression analysis using the Regression option in Data Analysis, the input for the Y range is the independent variable (which we can generally control) and the input X range is for the dependent variables.

True

False

#5 In the generic multiple regression equation is Y = A + B1*X1 + B2*X2 + …, what does B1 stand for?

The Predicted output variable.

The input variable.

The Intercept

The coefficient of an independent variable

#6 If two variables are known to be correlated, it is possible to predict the value of y (dependent variable) from an x (independent) variable.

True

False

#7 Relationships between variables may exist even when changes in one variable do not “cause” changes in another variable.

True

False

#8 A regression equation can be used to either predict or explain an output.

True

False

#9 If in a linear regression, the dependent variable is weight (in pounds), the independent variable is height (in inches), the coefficient is 3, and the intercept is 10; what is the regression equation?

Height = 3 + 10*Weight

Height = 10 + 3* Weight

Weight = 10 + 3*Height

Height = 3 – 10*Weight

#10 Spearman’s rank order correlation (rho) can be performed on ordinal or any ranked data.

True

False