Master Bivariate Regressions
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Questions and Answers

Which of the following best describes a regression model?

  • A method for calculating the total sum of squares in a regression model
  • A package in R used for performing regression analysis
  • A way of predicting the value of one variable from another using a linear equation (correct)
  • A statistical test used to assess the fit of a regression model

What does the equation of a straight line in a regression model represent?

  • The residual sum of squares in a regression model
  • The relationship between two variables (correct)
  • The intercept of the regression line
  • The total sum of squares in a regression model

What does the intercept of the regression line represent?

  • The value of the dependent variable when the independent variable is zero (correct)
  • The direction/strength of the predictor
  • The gradient (slope) of the regression line
  • The residual sum of squares in a regression model

Which of the following is true about the bivariate regression model $Y_i = b_0 + b_iX_i + \epsilon_i$?

<p>$b_0$ is the intercept (A)</p> Signup and view all the answers

What does the slope of 2.6 in the regression model $Y = 120 + 2.6X$ indicate?

<p>For every inch increase in height, weight increases by 2.6 pounds (A)</p> Signup and view all the answers

What does the sum of squared error measure in the least squares method?

<p>The variability between the regression model and the actual data (D)</p> Signup and view all the answers

What does the lm() function in R stand for?

<p>Linear model (D)</p> Signup and view all the answers

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