Predicting the Future Statistics MCQs
Predicting the Future Statistics MCQs
These Predicting the Future Statistics multiple-choice questions and their answers will help you strengthen your grip on the subject of Predicting the Future Statistics. You can prepare for an upcoming exam or job interview with these 20 Predicting the Future Statistics MCQs.
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1: ______ is a procedure which allows us to predict an individual’s score on one variable based on knowing one or more other variables.
A. Pearson’s product–moment correlation coefficient
B. Coefficient of determination
C. Regression analysis
D. Point–biserial correlation coefficient
2: What must be used to examine an outcome that is predicted from two independent variables?
A. Multivariate regression
B. Multiple regression
C. Simple regression
D. Complicated regression
3: When we use multiple predictor variables, we are using a ______, which is analogous to ______.
A. Multiple regression; one-way ANOVA
B. Simple regression; one-way ANOVA
C. Multiple regression; two-way ANOVA
D. Simple regression; two-way ANOVA
4: The best-fitting straight line drawn through the center of a scatterplot is the ______.
A. Regression coefficient
B. Pearson coefficient
C. Regression line
D. Coefficient of determination
5: Which of the following is also known as a regression weight?
A. X
B. Y’
C. A
D. B
6: In the formula for a regression line, the slope is represented by which symbol?
A. Y’
B. A
C. B
D. X
7: If the correlation between X and Y is equal to -1.0, what do we know about the prediction of Y by X?
A. It's weak.
B. It's positive.
C. It's perfect.
D. It's direct.
8: What must be done to categorical variables in order to use them in a regression analysis?
A. Nothing
B. Dummy coding
C. Problem coding
D. Categorical coding
9: In the formula for a regression line, the y-intercept is represented by which symbol?
A. Y’
B. A
C. B
D. X
10: When using two predictor variables, these variables should be ______.
A. Correlated
B. Related
C. Independent
D. Dependent
11: The formula to determine a regression line is ______.
A. Y’ = bX + a
B. Y’ = aX + b
C. X’ = bY’ + a
D. A’ = bX + Y
12: Given that x = 20, predict y given the following regression equation: y= 12 + .25x
A. 17
B. 29
C. 21
D. 34
13: A regression equation can be visually represented on a ______.
A. Histogram
B. Scatter plot
C. Ogive
D. Pie chart
14: The predicted ____ value in a regression equation.
A. X
B. Y
C. Z
D. A
15: The predicted Y value in a ____ equation.
A. Regression
B. Quadratec
C. Linear
D. Nonlinear
16: The equation that defines the points and the line that are closest to the observed scores is called
A. Regression equation
B. Quadratec equation
C. Linear equation
D. Nonlinear equation
17: The line drawn based on values in a regression equation is called
A. Bioline
B. Trend line
C. Single line
D. All of these
18: Line of best fit regression line that best fits the observed scores and minimizes the error in prediction.
A. True
B. False
19: The difference between the observed score (Y) and the predicted score (Y′) is error in prediction.
A. True
B. False
20: Criterion is _____variable
A. Dependent
B. Independent
C. Constant
D. All of these
21: Predictor is _____ variable.
A. Dependent
B. Independent
C. Constant
D. All of these
22: ____ line is trend line
A. Regression
B. Quadratec
C. Linear
D. Nonlinear
23: Standard error of estimate is measure of accuracy in prediction that reflects variability about the regression line.
A. True
B. False
24: A statistical technique whereby several variables are used to predict one is called
A. Single regression
B. Triple regression
C. Multiple regression
D. All of these
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Predicting the Future Statistics MCQs
