This quiz works best with JavaScript enabled. Home > Ugc Net > Paper 1 > Research Stats > Regression – Quiz 1 🏠 Homepage 📘 Download PDF Books 📕 Premium PDF Books Regression Quiz 1 (30 MCQs) Quiz Instructions Select an option to see the correct answer instantly. 1. What type of correlation describes the following sentence:The temperature outside and the number of hot chocolate sold at a football game. A) Postive. B) Negative. C) None. D) Cannot be determined. Show Answer Correct Answer: B) Negative. 2. Base your answer to the following question on the least square regression line:y = 3.12-0.79 * x The mean of the y-variable is 2.12. What is the mean of the x-variable? A) 1.45. B) 1.27. C) 1.69. D) 1.68. Show Answer Correct Answer: A) 1.45. 3. The regression formula of $ Y\ =3-0.6X$ indicates that A) Y-intercept is-0.6. B) The slope is downward. C) X is dependent to Y. D) Y is-2.4 if X = 1. Show Answer Correct Answer: B) The slope is downward. 4. In a regression line of Yon X the variable Xis known as A) Independent variables. B) Regressior. C) Explanatory variable. D) All of the above. Show Answer Correct Answer: A) Independent variables. 5. Rich is a member of a gym. He pays a monthly fee plus a per-visit fee. The equation below represents the monthly amount Rich pays for his membership to the gym per month for x visits.y= 10 + 3xWhat does the y-intercept of the graph of this equation represent? A) The total cost at the end of the month. B) The number of times Rich goes to the gym. C) How much Rich pays per visit. D) The monthly fee. Show Answer Correct Answer: D) The monthly fee. 6. What is a best-fit line used for? A) To make the graph look pretty. B) To make predictions. C) To connect the points. D) To make it look like you know what you are doing. Show Answer Correct Answer: B) To make predictions. 7. Suppose a straight line is fit to data having response variable y and explanatory variable x. Predicting values of y for values of x outside the range of the observed data is called ..... A) Correlation. B) Causation. C) Interpolation. D) Extrapolation. Show Answer Correct Answer: D) Extrapolation. 8. The method of least square regression is used to ..... the residuals. A) Minimise. B) Maximise. C) Optimise. D) None of the above. Show Answer Correct Answer: A) Minimise. 9. "Least-squares" in the term "least-squares regression line" refers to ..... A) Minimizing the sum of the squares of all values of the explanatory variable. B) Minimizing the sum of the squares of all values of the response variable. C) Minimizing the products of each value of the response variable and the predicted value based on the regression equation. D) Minimizing the sum of the squares of the residuals. Show Answer Correct Answer: D) Minimizing the sum of the squares of the residuals. 10. A process by which we estimate the value of dependent variable on the basis of an independent variable is called A) Correlation. B) Residual. C) Regression. D) Slope. Show Answer Correct Answer: C) Regression. 11. What are residuals? A) Extreme scores. B) The ratio of explained variation to the total variation. C) The mean between the observed scores. D) The differences between the observed and expected dependent variable scores. Show Answer Correct Answer: D) The differences between the observed and expected dependent variable scores. 12. Number of years of education and job salary A) Positive. B) Negative. C) None. D) Not enough info. Show Answer Correct Answer: A) Positive. 13. Linear regression is a statistical regression method which is used for A) Functional Analysis. B) Predictive Analysis. C) Complex Analysis. D) Real Analysis. Show Answer Correct Answer: B) Predictive Analysis. 14. The standard deviation is to the mean as the ..... is to the regression line. A) Z-score. B) SSR. C) Coefficient of determination. D) Standard error of the estimate. Show Answer Correct Answer: D) Standard error of the estimate. 15. It is the technique used to develop the equation for a straight line and make these predictions A) Correlation Analysis. B) Pearson r. C) Regression Analysis. D) Best Fit Line. Show Answer Correct Answer: C) Regression Analysis. 16. Data was collected on the weight of a male laboratory rat for the first 25 weeks after its birth. The linear regression equation is y= 40x+100, where x is number of weeks and y is weight in grams. What does the y-intercept mean in context of the problem? A) The current weight of the rat. B) The predicted weight of the rat at birth. C) The predicted weight of the rat in year 0. D) The average increase in the rat's weight. Show Answer Correct Answer: B) The predicted weight of the rat at birth. 17. What is the y-intercept in the following equation? $ y=3+5x$ A) 3. B) -5. C) 5. D) -3. Show Answer Correct Answer: A) 3. 18. Regressionanalysis is the measure of ..... relationship between variables A) Nature. B) Independence. C) Cause and effect. D) None of these. Show Answer Correct Answer: A) Nature. 19. What letter do we use to represent correlation coefficient? A) H. B) R. C) C. D) P. Show Answer Correct Answer: B) R. 20. A linear regression (LR) analysis produces the equation Y = 3 + 0.4X. This indicates that: A) When X = 3, Y = 0.4. B) When X = 0, Y = 3. C) When Y = 0, X = 3. D) When Y = 0.4, X = 3. Show Answer Correct Answer: B) When X = 0, Y = 3. 21. Which of the following statistics show how much variance there is between y-values and x-values? A) Coefficient of Determination. B) Slope of the Regression Line. C) Standard Deviation. D) Variance. Show Answer Correct Answer: A) Coefficient of Determination. 22. Which is TRUE?I. Random scatter in the residuals indicates a linear model.II. If two variables are very strongly associated, then the correlation between them will be near 1 or-1.III. Changing the units of measurement for x or y changes the correlation coefficient. A) I only. B) II only. C) I and II only. D) I, II and III. Show Answer Correct Answer: C) I and II only. 23. Victoria found the least squares regression line for a set of data and then graphed a residual plot. She found that all the residuals were above 0. Which of the following is true? A) Every point must have been above the regression line. B) The slope of the regression line must be 0. C) The residuals are all outliers. D) This is not possible and must be the result of an error on Victoria's part. Show Answer Correct Answer: D) This is not possible and must be the result of an error on Victoria's part. 24. In the regression equation y = bo+ b1x, bo is the; A) Y intercept. B) Coefficient of determination. C) Slope of the line. D) Independent variable. Show Answer Correct Answer: A) Y intercept. 25. Correlation coefficientcis equal to ..... of regression coefficients. A) AVERAGE. B) AM. C) GM. D) SUM. Show Answer Correct Answer: C) GM. 26. How many coefficients do you need to estimate in a simple linear regression model (One independent variable)? A) 2. B) 4. C) 1. D) 3. Show Answer Correct Answer: A) 2. 27. The slope of the LSRL for the points (1, 2), (3, 4) and (5, 6). What is the yintercept? A) -3. B) 3. C) -7.5. D) 1. Show Answer Correct Answer: D) 1. 28. What is the slope in the following equation:y= 6-2/3x? A) 2/3. B) 6. C) -6. D) -2/3. Show Answer Correct Answer: D) -2/3. 29. What would the correlation be between math grades and the time it takes to run a mile? A) No Correlation. B) Cannot Be Determined. C) Postive Correlation. D) Negative Correlation. Show Answer Correct Answer: A) No Correlation. 30. The regression line of Y on X is 5x-7y=10, then the regression coefficient of Y on X is A) $ \frac{5}{7}$. B) $ \frac{-7}{5}$. C) $ \frac{7}{5}$. D) $ \frac{10}{7}$. Show Answer Correct Answer: A) $ \frac{5}{7}$. Next →Related QuizzesPaper 1 QuizzesUgc Net QuizzesRegression Quiz 2Regression 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