Statistics Chapter 8
30 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the main goal when estimating a regression line?

  • To identify the correlation coefficient
  • To draw a line that comes as close as possible to the cases in the scatter plot (correct)
  • To predict the exact value of the dependent variable
  • To explain the relationship between the dependent and independent variables
  • Why can't we simply add up the residual values to summarize the fit of each line?

  • Because residual values are not measurable
  • Because residual values are always positive
  • Because positive and negative residual values cancel each other out (correct)
  • Because residual values are always negative
  • What do we want to minimize when estimating a regression line?

  • The slope of the line
  • The intercept of the line
  • The correlation coefficient
  • The residual values (correct)
  • What is the purpose of assessing the fit of each line?

    <p>To identify the best-fitting line</p> Signup and view all the answers

    Why do we need a method to assess the fit of each line?

    <p>Because the positive and negative residuals cancel each other out</p> Signup and view all the answers

    What do we want to achieve when drawing a regression line?

    <p>To draw a line that comes as close as possible to the cases in the scatter plot</p> Signup and view all the answers

    What is the predicted value of Yi calculated using α̂ and β̂?

    <p>α̂ + β̂Xi</p> Signup and view all the answers

    What does the residual (ûi) represent in the context of a two-variable regression model?

    <p>The difference between the actual and predicted values of the dependent variable</p> Signup and view all the answers

    What is another name for the estimated stochastic component (ûi)?

    <p>Residual</p> Signup and view all the answers

    What is the formula for calculating the residual (ûi)?

    <p>Yi - Ŷi</p> Signup and view all the answers

    What is the relationship between ûi and ui?

    <p>ûi is the sample error term and ui is the population error term</p> Signup and view all the answers

    What is the equation for the two-variable regression model?

    <p>Ŷi = α̂ + β̂Xi</p> Signup and view all the answers

    What is the primary reason for making assumptions about the population stochastic component in regression?

    <p>To justify the conclusions drawn from the regression</p> Signup and view all the answers

    What is the symbol for the variance of the population stochastic component in the given notation?

    <p>σ²</p> Signup and view all the answers

    What is the assumption that the mean of the population stochastic component is equal to zero?

    <p>No Bias</p> Signup and view all the answers

    What is the term for the assumption that the variance of the population stochastic component is constant?

    <p>Homoscedasticity</p> Signup and view all the answers

    How many assumptions are made about the population stochastic component in regression?

    <p>5</p> Signup and view all the answers

    What is the assumption about the model specification in regression?

    <p>We have the correct model specification</p> Signup and view all the answers

    What is the primary difference between a one-tailed hypothesis test and a two-tailed hypothesis test?

    <p>The direction of the alternative hypothesis</p> Signup and view all the answers

    What is the null hypothesis in a one-tailed test, where the alternative hypothesis is that the parameter is positive?

    <p>H0: β ≤ 0</p> Signup and view all the answers

    How do you use the t-table in Appendix B to get the right p-value for a one-tailed test?

    <p>Use the column labeled '.05' to find the p-value</p> Signup and view all the answers

    What is the purpose of the t-ratio calculation in a one-tailed hypothesis test?

    <p>To test which of the two rival hypotheses is supported</p> Signup and view all the answers

    Can one-tailed tests be used on the intercept (α) in a regression model?

    <p>Yes, and the calculation is the same as for the slope</p> Signup and view all the answers

    What is the reason for using a one-tailed hypothesis test instead of a two-tailed hypothesis test?

    <p>The theory predicts the direction of the relationship</p> Signup and view all the answers

    What is the value of β in the null hypothesis?

    <p>Equal to 0</p> Signup and view all the answers

    What is the formula used to test hypotheses about the y-intercept parameter?

    <p>tn−k = α̂−α∗ / se(α̂)</p> Signup and view all the answers

    What is the null hypothesis in the context of testing the y-intercept parameter?

    <p>H0 : α = 0</p> Signup and view all the answers

    What is the relationship between the 95% confidence interval and a two-tailed hypothesis test?

    <p>If the 95% confidence interval does not include a particular value, then the null hypothesis that the population equals that value will have a p-value smaller than 0.05.</p> Signup and view all the answers

    What can be concluded if the 95% confidence interval for a particular parameter does not include zero?

    <p>The null hypothesis that the population equals zero will have a p-value smaller than 0.05.</p> Signup and view all the answers

    When evaluating whether a null hypothesis is that a coefficient value equals zero, what is the calculation being performed?

    <p>Dividing the coefficient value by the standard error and seeing if that t-value passes the critical value.</p> Signup and view all the answers

    More Like This

    Simple Linear Regression Model
    16 questions
    Understanding Simple Linear Regression
    5 questions
    一元线性回归基础知识
    16 questions
    Use Quizgecko on...
    Browser
    Browser