QUIZ 1

docx

School

East Tennessee State University *

*We aren’t endorsed by this school

Course

MISC

Subject

Statistics

Date

Apr 3, 2024

Type

docx

Pages

Uploaded by ChancellorNewt4102

ALL QUIZES Quiz 1 1. Which of the following is a nominal variable? A. Gender B. Blood type C. Temperature D. City 2. Simple linear regression is used to compare two means. A. True B. Fals e 3. Nominal variables allow only for quantitative classification. A. True B. Fa lse 4. Which of the following variables allows us to rank items that are measured? A. Nominal B. Ratio C. Ordinal D. B,c, and d 5. Type I error is made when a researcher rejects the null hypothesis when it is actually true. A. Tru e B. False 6. A researcher wants to compare a sample mean with a population mean, which of these tests will be employed? A. Paired T-Test B. One Sample t est

C. ANOVA D. Two independent t-tests 7. Correlation analysis is always used to evaluate the relationship between two continuous variables and can take values -1, +1 or any number between -1 and +1. A. True B. Fa lse 8. In testing the null hypothesis, the overall T-test obtained in a one-way ANOVA is useful in making inferences. A. True B. Fa lse *Anova uses F-tests 9. The result of a study shows that when the level of HDL cholesterol increases in an individual, the risk of cardiovascular disease increases. We can conclude that the two variables are highly negative correlated. A. True B. Fal se 10. Analysis of variance (ANOVA) is mainly used to compare more than two means. However, it will give the same results as two sample- independent T-test if we compare two means. A. Tru e B. False QUIZ 2 1. One usefulness of scatter plots is its ability to detect outliers A. Tru e B. False 2. Regression analysis is used to predict the value of the independent variable on the basis of the other dependent variables. A. Tru e B. False

3. For linear regression analysis, which of these variables will not be used to predict the response? A. Predictor variable B. Explanatory variable C. Independent variable D. Risk Factor E. None of the ab ove 4. The least squared method is used to minimize the sum of squares of the residuals, or the sum of distances from the regression line to the observed data points. A. Tr ue B. False 5. A deviation between the predicted and mean values of the response variable ( ^ y - (y-bar)) is the explained deviation be the regression line. A. Tru e B. False 6. Suppose we do a linear regression analysis, the best linear regression model to fit the data will be the one that minimizes the sum of squared errors. A. Tr ue B. False 7. Assume that the simple linear regression model we have fitted is y=b 0 +b 1 x. We can conclude that there is no negative association between two variables x and y if b 0 <0. A. True B. Fals e

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

8. Assume that the sum of squared errors (SSE) of a simple linear regression model is 18 and the number of observations is 5, what will the mean squared error (MSE) be? A. 23 B. 13 C. 6 D. 11 9. Simple linear regression analysis has been performed. An R 2 value close to 0 shows that there is no evidence for a linear and non-linear relationship between 2 variables. A. True B. Fal se 10. Simple linear regression analysis has been performed. Which of the following estimated 95% confidence intervals of the slope indicates the significant linear association between x and y at alpha=0.05 significance level? A. (0.078, 0 .086) B. (-0.040, 5.967) C. (-0.12, 2.56) D. (-0.925, 234.1) QUIZ 3 1. Which of the following models is suitable for determining the relationship between one continuous dependent variable and two or more independent variables? A. Simple logistic regression B. Simple linear regression C. Multiple linear regres sion D. A and C 2. The parameters B 0 and B 1 are sometimes called partial regression coefficients because they reflect the partial effect of one predictor

variable when the other predictor variable is included in the model and held constant. A. True B. Fals e 3. Any standardized multiple regression coefficient measures the change in Y in standard deviations, per standard deviation change in the related independent variable, controlling for all other predictors. A. Tru e B. False 4. Which of the following will be useful in testing if a slope parameter is zero given that all others remain in the model? A. F-test B. ANOVA C. T-te st D. None of the above 5. Errors in MLR have normal distribution and are dependent. A. True B. Fals e 6. Which of the following tests will be used in testing a simple linear regression coefficient? A. Paired T-test B. F-test C. ANOVA D. One sample t-te st 7. Which of the following tests will be useful in testing if two or more slope parameters are zero? A. Studentized t-test B. F-tes t C. Independent t-test D. Dependent t-test

8. When we add one or more independent variables to a simple or MLR model, what happens to the value of coefficient of determination R 2 ? A. Decreases B. Never decreas es C. Unchanged D. A and B 9. b i =sample regression coefficients SST= total sum of squares Rx 1 , x 2 =correlation coefficients among predictors Se= standard deviation of errors R 2 =coefficient of determination F-test= test if MSR is significantly higher than MSE SSE= Sum of squares error R= coefficient of multiple correlation B i = population regression coefficients Sbi=standard error of regression coefficients SSR= regression of sum of squares t-test= test significance of a single regression coefficient

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

Related Documents

WS3 Lab_Demographics Revision Sept 2021.docx

Quiz 4 ANOVA.pdf

asg4.pdf

AP Ch.10 Two Pops Test 2021.pdf

Review Questions Module 1.pdf

TASK ONE LINEAR Passed.pdf

lab 6.pdf

hw07.pdf

case study.docx

BUSN 41100 Review Session for Midterm 2024.pdf

Homework 4 Solutions_Fall 2020.docx

PH1830 HW3 Solution (1).docx

Recommended textbooks for you

Glencoe Algebra 1, Student Edition, 9780079039897...

Algebra

ISBN:9780079039897

Author:Carter

Publisher:McGraw Hill

Holt Mcdougal Larson Pre-algebra: Student Edition...

Algebra

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Big Ideas Math A Bridge To Success Algebra 1: Stu...

Algebra

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:Houghton Mifflin Harcourt

Functions and Change: A Modeling Approach to Coll...

Algebra

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Cengage Learning

SEE MORE TEXTBOOKS

Recommended textbooks for you

Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning