Which of the following is correct with respect to residuals?(a) Positive residuals are above the line, negative residuals are below(b) Positive residuals are below the line, negative residuals are above(c) Positive residuals and negative residuals are below the line(d) All of the mentionedI have been asked this question in final exam.This intriguing question originated from Introduction to Regression Models topic in section Statistical Inference and Regression Models of Data Science

Which of the following is correct with respect to residuals?(a) Positi

1.	Which of the following is correct with respect to residuals?(a) Positive residuals are above the line, negative residuals are below(b) Positive residuals are below the line, negative residuals are above(c) Positive residuals and negative residuals are below the line(d) All of the mentionedI have been asked this question in final exam.This intriguing question originated from Introduction to Regression Models topic in section Statistical Inference and Regression Models of Data Science
Answer» Correct choice is (a) Positive residuals are above the LINE, negative residuals are below The explanation is: Residuals can be thought of as the OUTCOME with the linear association of the predictor REMOVED.

Discussion

No Comment Found

Related InterviewSolutions

Collection of exchangeable binary outcomes for the same covariate data are called _______ outcomes.(a) random(b) direct(c) binomial(d) none of the mentionedThis question was posed to me in an international level competition.I'd like to ask this question from Binary and Count Outcomes in division Statistical Inference and Regression Models of Data Science
Point out the correct statement.(a) A standard error is needed to create a prediction interval(b) The prediction interval must incorporate the variability in the data around the line(c) Investors use the residual variance to measure the accuracy of their predictions on the value of an asset(d) All of the mentionedI have been asked this question in unit test.This interesting question is from Residual Variation and Multivariate in chapter Statistical Inference and Regression Models of Data Science
Point out the correct statement.(a) The mean is a measure of central tendency of the data(b) Empirical mean is related to “centering” the random variables(c) The empirical standard deviation is a measure of spread(d) All of the mentionedI have been asked this question in a job interview.My doubt stems from Introduction to Regression Models topic in division Statistical Inference and Regression Models of Data Science
Which of the following value is the most common measure of “statistical significance”?(a) P(b) A(c) L(d) All of the mentionedThe question was asked in an online interview.This question is from Statistical Inference Concepts topic in section Statistical Inference and Regression Models of Data Science
__________ random variables are used to model rates.(a) Empirical(b) Binomial(c) Poisson(d) All of the mentionedI have been asked this question by my school principal while I was bunking the class.I want to ask this question from Common Distributions topic in portion Statistical Inference and Regression Models of Data Science
Which of the following is example use of Poisson distribution?(a) Analyzing contingency table data(b) Modeling web traffic hits(c) Incidence rates(d) All of the mentionedThe question was asked during a job interview.Question is taken from Binary and Count Outcomes in division Statistical Inference and Regression Models of Data Science
Which of the following function is associated with a continuous random variable?(a) pdf(b) pmv(c) pmf(d) all of the mentionedThis question was addressed to me by my school principal while I was bunking the class.Query is from Introduction to Statistical Inference in chapter Statistical Inference and Regression Models of Data Science
Point out the correct statement.(a) Bayesian inference is the use of Bayesian probability representation of beliefs to perform inference(b) NULL is the standard missing data marker used in S(c) Frequency inference is the use of Bayesian probability representation of beliefs to perform inference(d) None of the mentionedThe question was posed to me in final exam.My doubt stems from Introduction to Statistical Inference in portion Statistical Inference and Regression Models of Data Science
Which of the following refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it?(a) Heterogeneity(b) Heteroskedasticity(c) Heteroelasticty(d) None of the mentionedI got this question by my college professor while I was bunking the class.Question is from Introduction to Regression Models topic in chapter Statistical Inference and Regression Models of Data Science
Point out the wrong statement.(a) Asymptotics generally give assurances about finite sample performance(b) The sample variance and the sample standard deviation are consistent as well(c) The sample mean and the sample variance are unbiased as well(d) None of the mentionedI had been asked this question during an online interview.Question is taken from Likelihood in division Statistical Inference and Regression Models of Data Science

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment