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Predicting the Future Statistics MCQ

1. A statistical technique whereby several variables are used to predict one is called

Single regression

Triple regression

Multiple regression

All of these

Answer

Correct Answer: Multiple regression

Note: This Question is unanswered, help us to find answer for this one

2. Standard error of estimate is measure of accuracy in prediction that reflects variability about the regression line.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

3. ____ line is trend line

Regression

Quadratec

Linear

Nonlinear

Answer

Correct Answer: Regression

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4. Predictor is _____ variable.

Dependent

Independent

Constant

All of these

Answer

Correct Answer: Independent

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5. Criterion is _____variable

Dependent

Independent

Constant

All of these

Answer

Correct Answer: Dependent

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6. The difference between the observed score (Y) and the predicted score (Y′) is error in prediction.

True

False

Answer

Correct Answer: True

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7. Line of best fit regression line that best fits the observed scores and minimizes the error in prediction.

True

False

Answer

Correct Answer: True

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8. The line drawn based on values in a regression equation is called

Bioline

Trend line

Single line

All of these

Answer

Correct Answer: Trend line

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9. The equation that defines the points and the line that are closest to the observed scores is called

Regression equation

Quadratec equation

Linear equation

Nonlinear equation

Answer

Correct Answer: Regression equation

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10. The predicted Y value in a ____ equation.

Regression

Quadratec

Linear

Nonlinear

Answer

Correct Answer: Regression

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11. The predicted ____ value in a regression equation.

Answer

Correct Answer: Y

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12. A regression equation can be visually represented on a ______.

Histogram

Scatter plot

Ogive

Pie chart

Answer

Correct Answer: Scatter plot

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13. Given that x = 20, predict y given the following regression equation: y= 12 + .25x

Answer

Correct Answer: 17

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14. The formula to determine a regression line is ______.

Y’ = bX + a

Y’ = aX + b

X’ = bY’ + a

A’ = bX + Y

Answer

Correct Answer: Y’ = bX + a

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15. When using two predictor variables, these variables should be ______.

Correlated

Independent

Dependent

Answer

Correct Answer: Independent

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16. In the formula for a regression line, the y-intercept is represented by which symbol?

Y’

Answer

Correct Answer: A

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17. What must be done to categorical variables in order to use them in a regression analysis?

Nothing

Dummy coding

Problem coding

Categorical coding

Answer

Correct Answer: Dummy coding

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18. If the correlation between X and Y is equal to -1.0, what do we know about the prediction of Y by X?

It's weak.

It's positive.

It's perfect.

It's direct.

Answer

Correct Answer: It's perfect.

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19. In the formula for a regression line, the slope is represented by which symbol?

Y’

Answer

Correct Answer: B

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20. Which of the following is also known as a regression weight?

Y’

Answer

Correct Answer: B

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21. The best-fitting straight line drawn through the center of a scatterplot is the ______.

Regression coefficient

Pearson coefficient

Regression line

Coefficient of determination

Answer

Correct Answer: Regression line

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22. When we use multiple predictor variables, we are using a , which is analogous to .

Multiple regression; one-way ANOVA

Simple regression; one-way ANOVA

Multiple regression; two-way ANOVA

Simple regression; two-way ANOVA

Answer

Correct Answer: Multiple regression; two-way ANOVA

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23. What must be used to examine an outcome that is predicted from two independent variables?

Multivariate regression

Multiple regression

Simple regression

Complicated regression

Answer

Correct Answer: Multiple regression

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24. ______ is a procedure which allows us to predict an individual’s score on one variable based on knowing one or more other variables.

Pearson’s product–moment correlation coefficient

Coefficient of determination

Regression analysis

Point–biserial correlation coefficient

Answer

Correct Answer: Regression analysis

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Statistics MCQs | Topic-wise

MCQ on Analysis of Factorial ANOVA	MCQ on Basic Statistics
MCQ on Chi-Square and Nonparametric Tests in Statistics	MCQ on Computing Correlation Coefficients
MCQ on Computing and Understanding Averages in Statistics	MCQ on Creating Graphs in Statistics
MCQ on Factorial ANOVA Statistics	MCQ on Factorial ANOVA in Statistics
MCQ on Factorial Analysis of Variance in Statistics	MCQ on Gentle and Statistical Introduction
MCQ on Inferential Statistics	MCQ on Introduction to Correlation and Regression
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MCQ on Measures of Central Tendency in Statistics	MCQ on Multiple Comparison Tests in Statistics
MCQ on Nonparametric Statistics	MCQ on One-Factor Completely Randomized Design
MCQ on One-Factor Repeated-Measures Design	MCQ on One-Sample Z Test
MCQ on Other (Important) Statistical Procedures	MCQ on Predicting the Future Statistics
MCQ on Significantly Significant in Statistics	MCQ on Standard Statistics Hypothesis Testing
MCQ on Statistical Probability	MCQ on Statistical Tests Between the Means of Different Groups
MCQ on Statistical Tests Between the Means of Related Groups	MCQ on Statistical Topics, Parameters, and Tests in Statistics
MCQ on Statistics or Sadistics	MCQ on T Test for Dependent Groups
MCQ on T Test for Independent Groups	MCQ on Testing Relationships using Correlation Coefficient
MCQ on Testing Your statistical Questions	MCQ on Try Analysis of Variance in Statistics
MCQ on Understanding Statistical Distributions of Numbers	MCQ on Understanding Variability in Statistics
General Statistics MCQs

Predicting the Future Statistics MCQ

1. A statistical technique whereby several variables are used to predict one is called

2. Standard error of estimate is measure of accuracy in prediction that reflects variability about the regression line.

3. ____ line is trend line

4. Predictor is _____ variable.

5. Criterion is _____variable

6. The difference between the observed score (Y) and the predicted score (Y′) is error in prediction.

7. Line of best fit regression line that best fits the observed scores and minimizes the error in prediction.

8. The line drawn based on values in a regression equation is called

9. The equation that defines the points and the line that are closest to the observed scores is called

10. The predicted Y value in a ____ equation.

11. The predicted ____ value in a regression equation.

12. A regression equation can be visually represented on a ______.

13. Given that x = 20, predict y given the following regression equation: y= 12 + .25x

14. The formula to determine a regression line is ______.

15. When using two predictor variables, these variables should be ______.

16. In the formula for a regression line, the y-intercept is represented by which symbol?

17. What must be done to categorical variables in order to use them in a regression analysis?

18. If the correlation between X and Y is equal to -1.0, what do we know about the prediction of Y by X?

19. In the formula for a regression line, the slope is represented by which symbol?

20. Which of the following is also known as a regression weight?

21. The best-fitting straight line drawn through the center of a scatterplot is the ______.

22. When we use multiple predictor variables, we are using a ______, which is analogous to ______.

23. What must be used to examine an outcome that is predicted from two independent variables?

24. ______ is a procedure which allows us to predict an individual’s score on one variable based on knowing one or more other variables.

22. When we use multiple predictor variables, we are using a , which is analogous to .