This quiz works best with JavaScript enabled. Home > Ugc Net > Paper 1 > Research Stats > Regression – Quiz 2 🏠 Homepage 📘 Download PDF Books 📕 Premium PDF Books Regression Quiz 2 (30 MCQs) Quiz Instructions Select an option to see the correct answer instantly. 1. A correlation shows that two things are A) Related. B) Best friends. C) Causing each other. D) Unrelated. Show Answer Correct Answer: A) Related. 2. The number of siblings you have and the temperature outside A) Positive correlation. B) No correlation. C) Not enough info. D) Negative correlation. Show Answer Correct Answer: B) No correlation. 3. An influential observation is most often A) Larger than most other values in the x-direction. B) Larger than most other values in the y-direction. C) An outlier in the x direction. D) Not an outlier. Show Answer Correct Answer: C) An outlier in the x direction. 4. $ y=?+b_1x_1$ The? should be the ..... A) Intercept. B) Outcome. C) Slope. D) Residual. Show Answer Correct Answer: A) Intercept. 5. When r=0 the regression lines are A) Coincident. B) Perpendicular. C) Parallel. D) None of these. Show Answer Correct Answer: B) Perpendicular. 6. The sign of the correlation coefficient tells you whether you have A) A positive relationship. B) A negative relationship. C) Both are true. D) None of above. Show Answer Correct Answer: C) Both are true. 7. An influential point in the context of least square regression lines is a A) Point far from all the other points. B) Point that, when omitted, causes the line to change significantly. C) Point that all other points are centered around. D) None of these. Show Answer Correct Answer: B) Point that, when omitted, causes the line to change significantly. 8. What is the best definition of the least squares regression line? A) The line that minimizes the squares of the horizontal distances between the data points and the line. B) The line that minimizes the squares of the vertical distances between the data points and the line. C) The line that minimizes the vertical distances between the data points and the line. D) The line that passes through the most number of data points. Show Answer Correct Answer: B) The line that minimizes the squares of the vertical distances between the data points and the line. 9. What key do you type on the calculator to enter data into a table. A) Y=. B) VARS. C) STAT. D) MATH. Show Answer Correct Answer: C) STAT. 10. What type of correlation do you think there is between:Outside Temperature & Heating Bill A) Positive. B) Negative. C) NONE. D) Not enough information. Show Answer Correct Answer: B) Negative. 11. Which is the best CONTEXTUAL description of the y-intercept for the linear regression equation of the rats:Weight = 100 + 40(Time)? A) The y-intercept is 100, which is where the graph crosses the y-axis. B) The y-intercept is 100, which means the rat is predicted to weigh 100 grams at birth. C) The y-intercept is 100, which means at a weight of 0, the rat will take 100 seconds. D) 100 is where the data starts on the y-axis. Show Answer Correct Answer: B) The y-intercept is 100, which means the rat is predicted to weigh 100 grams at birth. 12. The range of regression coefficient is ..... A) -1 to +1. B) $-\ \infty\ \ to\ \ \infty$. C) $ 1\ to\ \infty$. D) $-\infty$ to 0. Show Answer Correct Answer: A) -1 to +1. 13. If $ bxy$ is greater than 1 then $ byx$ is ..... A) Equal to-1. B) Less than 1. C) Greater than 1. D) Equal to 1. Show Answer Correct Answer: B) Less than 1. 14. Which of the following are true about the least-square regression line? I. The average of its residuals is 0. II. The sum of its residuals is zero. III. It is the line that produces the highest r-value. A) III only. B) I and II. C) I and III. D) I, II and III. Show Answer Correct Answer: B) I and II. 15. If the slope of the regression equation y = bo + b1x is positive, then; A) As x increases so does y. B) As x increases y decreases. C) Either a or b is correct. D) As x decreases y increases. Show Answer Correct Answer: A) As x increases so does y. 16. In regression analysis, the variable that is being predicted is; A) The independent variable. B) The dependent variable. C) Usually denoted by x. D) Usually denoted by r. Show Answer Correct Answer: B) The dependent variable. 17. If Linear regression model perfectly first i.e., train error is zero, then A) Test error is equal to Train error. B) Test error is also always zero. C) Test error is non zero. D) Couldn't comment on Test error. Show Answer Correct Answer: D) Couldn't comment on Test error. 18. Which of the following correlation coefficients shows the strongest relationship? (Hint:A correlation that is negative can still be strong.) A) R =-0.197. B) R = 0.728. C) R = 0.932. D) R =-0.982. Show Answer Correct Answer: D) R =-0.982. 19. What is the y-intercept in the following equation:y=-5-4x? A) -5. B) -4. C) -4x. D) 5. Show Answer Correct Answer: A) -5. 20. What would the correlation between elevation and temperature be? A) None. B) Cannot be determined. C) Positive correlation. D) Negative correlation. Show Answer Correct Answer: D) Negative correlation. 21. Simple linear regression requires that the scales of measurement be expressed in either A) Interval or ratio. B) Nominal or interval. C) Ordinal or ratio. D) Nominal or ordinal. Show Answer Correct Answer: A) Interval or ratio. 22. Data is collected comparing sales of cars and the age of the salesperson. After analyzing the data, it is determined that the correlation coefficient is 0.19. What does this mean? A) There is little to no correlation between sales and age of the salesperson. B) There is a strong positive correlation between sales and age of the salesperson. C) There is a strong negative correlation between sales and age of the salesperson. D) There is a weak negative correlation between sales and age of the salesperson. Show Answer Correct Answer: A) There is little to no correlation between sales and age of the salesperson. 23. The amount of time a runner spends training and their time in the mile. A) Not enough info. B) Negative correlation. C) No correlation. D) Positive correlation. Show Answer Correct Answer: B) Negative correlation. 24. Linear regression analysis produces an equation of Y = 7-3.2X. This indicates that: A) An X value of 0 would would increase Y by 7. B) A 1 unit increase in X results in a 3.2 unit increase in Y. C) A 1 unit decrease in X results in a 3.2 unit decrease in Y. D) A 1 unit increase in X results in a 3.2 unit decrease in Y. Show Answer Correct Answer: D) A 1 unit increase in X results in a 3.2 unit decrease in Y. 25. The purpose of regression analysis is to A) Measure the degree of association between two variables. B) Predict a value of dependent variable using the value of an independent variable. C) Obtain a value of X from a value of Y. D) Illustrate the correlation using the scatterplot. Show Answer Correct Answer: B) Predict a value of dependent variable using the value of an independent variable. 26. What type of correlation describes the following sentence:The number of people that go the pool and the temperature outside. A) Positive. B) Negative. C) None. D) Cannot be determined. Show Answer Correct Answer: A) Positive. 27. The equation of a least squares regression line is given by = 1.6 + 9.4x. Find the residual of the point (4, 4). A) 0.0. B) 35.2. C) 4.0. D) 19.6. Show Answer Correct Answer: B) 35.2. 28. A regression model in which more than one independent variable is used to predict the dependent variable is called as ..... A) A simple linear regression model. B) A multiple regression model. C) An independent model. D) None of above. Show Answer Correct Answer: B) A multiple regression model. 29. If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34$^ \circ$ day.y =-60x+6443 A) $ 4403. B) $ 4673. C) $ 6443. D) $ 8483. Show Answer Correct Answer: A) $ 4403. 30. The correlation coefficient measures ..... A) Whether there is a relationship between two variables. B) The strength of the relationship between two quantitative variables. C) Whether a cause and effect relation exists between two variables. D) The strength of the linear relationship between two quantitative variables. Show Answer Correct Answer: D) The strength of the linear relationship between two quantitative variables. ← PreviousNext →Related QuizzesPaper 1 QuizzesUgc Net QuizzesRegression Quiz 1Regression Quiz 3Analysis Of Variance QuizChi Square QuizCoefficient Of Variation Discrete Serious And Continuous Serious QuizConcept Of Point And Interval Estimation QuizConcept Of Sampling And Other Concepts Related To Sampling QuizConfidence Intervals Quiz 🏠 Back to Homepage 📘 Download PDF Books 📕 Premium PDF Books