Nonlinear Regression Functions
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Questions and Answers

What is the relationship between test scores and district income in the California data set?

  • Negative correlation
  • No correlation
  • Strongly positive correlation (correct)
  • Random correlation
  • What are two economic background variables used in the analysis?

  • Percentage of students passing tests and district population
  • Number of teachers per student and percentage of students graduating
  • District income and the size of school buildings
  • Average annual per capita income and percentage of district families qualifying for income assistance (correct)
  • Why does the scatterplot of test scores against district income show a peculiarity?

  • Points are uniformly distributed
  • Nonlinear relationship between test scores and income (correct)
  • Points are clustered in the middle
  • Most points are above the OLS line
  • What characterizes a nonlinear function?

    <p>Function with a variable slope depending on input values</p> Signup and view all the answers

    For the California data set, what is the median district income in terms of per person?

    <p>$13,700 per person</p> Signup and view all the answers

    What range of district income values indicates a peculiarity in the relationship with test scores?

    <p>Between $15,000 and $30,000</p> Signup and view all the answers

    What happens when the effect on Y of a change in one independent variable depends on the value of that variable?

    <p>The population regression function becomes nonlinear</p> Signup and view all the answers

    What is an example of a nonlinear regression function where the effect on Y depends on the value of X1?

    <p>Reducing class sizes to improve test scores</p> Signup and view all the answers

    What is the difference between linear and nonlinear population regression functions?

    <p>A linear function has a constant slope, while a nonlinear function has a varying slope</p> Signup and view all the answers

    How is the nonlinear regression function in Figure 8.1b different from the linear population regression function in Figure 8.1a?

    <p>The nonlinear regression function is steeper when X1 is small and less steep when X1 is large</p> Signup and view all the answers

    Can nonlinear regression functions be considered versions of the multiple regression model?

    <p>Yes, because they are linear functions of the unknown coefficients of the population regression model</p> Signup and view all the answers

    What is an example of a nonlinear effect in everyday life?

    <p>Taking a medication</p> Signup and view all the answers

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