1 Multiple-Choice/Numerical Questions 1. a) 10 c) n-1 since only the predicted value of y is estimated from sample data The coefficient of determination is 0.81. 25. Based on the above estimated regression equation, if price is increased by 2 units, then demand is expected to. Regressing a dependent variable on this independent variable will result in a coefficient of determination (r 2 ) of: This implies that if advertising is $800, then the predicted amount of sales (in dollars) is: d) n-2 since the slope and the intercept are estimated from sample data a) increase of $1 in advertising is expected to result in an increase of $5 in sales A)It becomes difficult to assess the individual importance of predictors and it decreases the standard errors of the b coefficients making them redundant. You missed on the real time test, but can read this article to find out how many could have answered correctly. Once you have completed the test, click on 'Submit Answers' to get your results. a) -0.88 The regression line yhat = 3 + 2x has been fitted to the data points (4,8), (2,5), and (1,2). e) The coefficient of determination is 0.81 b) 90% of the variation in y can be explained by the regression line 24. e) residual analysis a) 2.228 b) -0.8 Ibrahim Abdellah 31. A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line: yhat = 75 +6x. a) must be 1.0 a) strength of the relationship between x and y Only one is correct. 16. d) coefficient of determination is between -1 and 1 An indication of no linear relationship between two variables would be: One way to examine whether two variables might be linearly related is to construct a ______________________________. Correlation analysis is used to determine the: Here is the leaderbo… 50. 56. 29. d) The slope, b, is positive 26. a) 0.91 5. a) The coefficient of correlation is 0.9 The value for SSE equals zero. a) nominal or ordinal #CF001001 c) must be either 1.0 or -1.0 a) nominal or ordinal Multiple choice questions. none of the above; A measure of goodness of fit for the estimated regression equation is the ? b) increase $5 in advertising is expected to result in an increase of $5,000 in sales {Real Estate Builder Narrative} When the builder used a simple linear regression model with house size as the dependent variable and education as the independent variable,he obtained an R-square value of 23.0%.What additional percentage of the total variation in house size has been explained by including family size and income in the multiple regression? Logistic regression is used when you want to: Answer choices. 32. 50. d) decrease by 24 pounds The most commonly used formula to describe linear relationship is. d) pooled variances c) interval or ratio e) -1.4 d) -2.3 In a multiple regression when there are correlations between predictor variables, this problem is known as: A. 34. Carla scored 95 on the first test. 5 Questions which can teach you Multiple Regression (with R and Python) 7 Types of Regression Techniques you should know. 4. What … In a statistics course, a linear regression equation was computed to predict the final-exam score from the score on the first test. Hopefully, you must have understood the above mentioned Linear Regression Interview Questions thoroughly. Simple linear regression requires that the scales of measurement be expressed in either: If the coefficient of correlation is a positive value, then the regression equation, could have either a positive or a negative slope, Correlation analysis is used to determine, the strength of the relationship between the dependent and the independent variables, a specific value of the dependent variable for a given value of the independent variable. b) n-1 since only the intercept is estimated from sample data d) nominal or ratio A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line: yhat = 80,000 + 5x. only one independent variable ? Free download in PDF Regression Multiple Choice Questions and Answers for competitive exams. a) random error c) The y-intercept is positive a) a coefficient of determination equal to 1 Regardless of the value of x, the standard deviation of the distribution of y values about the regression line is the same. c) homoscedasticity These short solved questions or quizzes are provided by Gkseries. b) 2592 a) is a value of the dependent variable and is a value of the independent variable The main drawback of using multiple regression over simple regression is: A.) a) 0.95 Linear relationship between continuous predictor variables and the outcome variable. This Section contains Multiple Choice Questions (MCQs) about Correlation Analysis, Simple Regression Analysis, Multiple Regression Analysis, Coefficient of Determination (Explained Variation), Unexplained Variation, Model Selection Criteria, Model Assumptions, Interpretation of results, Intercept, Slope, Partial Correlation, Significance tests, OLS Assumptions, Multicollinearity, Heteroscedasticity, … c) predicted value of y for a given value of x In a simple linear regression model, the residual is the horizontal distance from the regression line to an observed data point. 6. a) 90% of the y values are positive The correct model is. If the sum of squares due to regression (SSR) is 60, which of the following must be true? A quadratic regression produced the strongest correlation coefficient and coefficient of determination. The coefficient of determination can be described in terms of the total variation in y versus the unexplained variation in y. The coefficient of determination can take on values between ____________________ and ____________________, inclusive. 1. The regression line y hat = 3 + 2x has been fitted to the data points (4,8), (2,5), and (1,2). 12. c) 2.365 [Skip Breadcrumb Navigation]: [Skip Breadcrumb Navigation] Home: Chapter 13 : No Frames Version Multiple Regression. d) may have opposite signs or the same sign Chapter 15 - Multiple choice quiz. Given the least squares regression line y hat = -2.88 + 1.77x, and a coefficient of determination of 0.81, the coefficient of correlation is: The residual is defined as the difference between the: actual value of y and the estimated value of y. actual value of x and the estimated value of x. actual value of y and the estimated value of x. actual value of x and the estimated value of y. Regression analysis was applied between demand for a product (Y) and the price of the product (X), and the following estimated regression equation was obtained. 14. We have seen the importance of linear regression through some interview questions on linear regression. c) homoscedasticity b) +0.88 Chapter 8: Multiple Choice Questions . a) n-1 since only the slope is estimated from sample data 8. Which of the following statistical tests allows causal inferences to be made? 28. d) 3240 For a given value of x, the estimation interval for an individual y observation is called the: A regression analysis between sales (in $1000) and advertising (in $100) resulted in the following least squares line: y hat = 75 +6x. mean square due to regression ? Which of the following statements is true regarding the simple linear regression model 37. c) must have the same sign a) $4875 c) coefficient of correlation is 1 c) 13 The least-squares criterion requires that the sum of the squared deviations between the y values in the scatter diagram and the y values predicted by the equation be minimized. c) 90% of the x values are equal When you have completed all the questions and reviewed your answers, press the button below to grade the test. However, only one equation will be the "best fit" as defined by the least-squares criterion. Multiple choice questions. is a random variable with a mean or expected value of, The equation that describes how the dependent variable (y) is related to the independent variable (x) is called. FILL IN THE BLANKS: a) increase of $1 in advertising is expected to result in an increase of $5 in sales Toggle nav . 20. Multiple Choice Quizzes Take the quiz test your understanding of the key concepts covered in the chapter. 38. The identification problem refers to the difficulties that a researcher encounters when trying to. c) increase of $1 in advertising is expected to result in an increase of $80,005 in sales 33. For the multiple choice questions, select exactly one answer. Use the … Multiple Choice; Site Navigation; Navigation for Simple L In regression and correlation analysis, if SSE and SST are known, then with this information the, coefficient of determination can be computed. 3. 23. Correlation analysis provides us with two important measures of the strength: (1) the coefficient of ____________________ and (2) the coefficient of ____________________. Multiple choice questions on Correlation and Regression. All of the values of an independent variable equal the same number. In multiple regression with p predictor variables, when constructing a confidence interval for any β i, the degrees of freedom for the tabulated value of t should be: If all the points in a scatter diagram lie on the least squares regression line, then the coefficient of correlation: b) standard error of estimate 10. predicted value of y for a given value of x. d) $12,300 27. Linear Regression Multiple Choice Questions Multiple Choice Questions on Regression Analysis Multiple choice question on rergerssion analysis 30 Multiple Choice Problems in Statistics Statistics Multiple Choice Question and Answer Multiple choice questions on hypothesis testing,regression Questions of Algebra dealing with probability, etc. e) 1.0 In order to estimate with 95% confidence the expected value of y in a simple linear regression problem, a random sample of 10 observations is taken. Correlation analysis is used to determine the: strength of the relationship between x and y. least squares estimates of the regression parameters. In a linear regression problem, we are using “R-squared” to measure goodness-of-fit. 57. d) nominal or ratio The value for SSE equals zero. 41. This implies that an: 22. B)It becomes difficult to assess the individual importance of predictors and it increases the standard errors of the b coefficients making them unreliable. (ii) In fact Karen collected £22. d) a coefficient of correlation equal to -1 Answer choice D are the values from the quadratic regression but in reverse. Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a … d) is a random error, or residual e) Both "A" and "B" are correct a) coefficient of correlation is -1 For a given value of x, the estimation interval for an individual y observation is called the: Multiple Choice. c) prediction interval c) increase by 5 pounds 47. 48. The ____________________ requires that the sum of the squared deviations between y values in the scatter diagram and y values predicted by the equation be minimized. (C) ML is … We add a feature in linear regression model and retrain the same model. The following values are listed as coefficients of correlation (r). d) decrease by 24 pounds These short objective type questions with answers are very important for Board exams as well as competitive exams. The coefficient of correlation assumes values between ____________________ and ____________________, inclusive. In a regression analysis, the error term ? c) $487,500 The residual is defined as the difference between the: e) 1.960 This implies that an: a) increase by 1 pound b) actual value of x and the estimated value of x b) a coefficient of determination equal to -1 Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between features. d) coefficient of determination a) confidence interval b) heteroscedasticity c) 2.3 In a regression problem the following pairs of (x, y) are given: (2,1), (2,-1), (2,0), (2,-2) and (2,2). Answer choice B was an exponential regression results. MULTIPLE CHOICE QUESTIONS. The residual sum of squares will be: The vertical spread of the data points about the regression line is measured by the: The solution gives detailed answers on 20 statistical multiple choice questions including the topics of regression analysis. a) 1.895 Multiple Choice Quiz. [Skip Breadcrumb Navigation]: [Skip Breadcrumb Navigation] Home: Chapter 12 : No Frames Version Simple Linear Regression. d) -0.64 a) 0.0 There are 3 major areas of questions that the multiple linear regression analysis answers – (1) causal analysis, (2) forecasting an effect, (3) trend forecasting. TRUE OR FALSE: In the sample regression line y-hat = b0 + b1x, the term b0 is the y-intercept; this is the value of y where the line intersects the y-axis whenever x = 0. e) t-ratio c) a coefficient of correlation of 0 b) $123,000 a) ŷ = b 0 + b 1 x + b 2 x 2. b ... a) Leptokracy b) Homoscedacity c) Heteroscedacity d) Covariance Question 5 Residual plot in regression analysis is used to mean. c) y-intercept b) must have opposite signs Three or more independent variables we add a feature in linear regression purpose... Should know are provided by Gkseries above Statistics 1 – correlation and regression multiple choice questions on linear regression choice questions below to grade test. Guaranteed to encounter one free response question about correlation and/or linear regression model its! All the questions and answers for competitive exams prominently used statistical technique in data science industry and in academia explain... 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