Question 296437: 1. What is the measure that indicates how precise a prediction of Y is based on X or, conversely, how inaccurate the prediction might be?
a. Slope of the line.
b. Regression equation.
c. Standard error of estimate.
d. Least squares principle
2. For a unit change in X(1) holding X(2) constant, what change can be expected in the dependent variable in the multiple regression equation Y = 5.2 + 6.3X(1) - 7.1X(2)?
a. +5.2
b. -7.1
c. +6.3
d. +4.4
3. Suppose the least squares regression equation is Y = 1202 + 1,113X. When X = 3, what does Y equal?
a. 5,734
b. 4,050
c. 8,000
d. 4,601
4. If the correlation between the two independent variables of a regression analysis is 0.11 and each independent variable is highly correlated to the dependent variable, what does this indicate?
a. Both independent variables should be used to predict the dependent variable.
b. Only one of the independent variables should be used in the regression equation.
c. The independent variables are strongly related.
d. Two separate regression equations are required.
5. In multiple regression analysis, testing the global null hypothesis that the multiple regression coefficients are all zero is based on
a. a Z statistic.
b. a t statistic.
c. binomial distribiton.
d. a F statistic
Answer by stola28(1)   (Show Source):
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