Podcast
Questions and Answers
Which of the following best describes a regression model?
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?
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?
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 $Y_i = b_0 + b_iX_i + \epsilon_i$?
Which of the following is true about the bivariate regression model $Y_i = b_0 + b_iX_i + \epsilon_i$?
What does the slope of 2.6 in the regression model $Y = 120 + 2.6X$ indicate?
What does the slope of 2.6 in the regression model $Y = 120 + 2.6X$ indicate?
What does the sum of squared error measure in the least squares method?
What does the sum of squared error measure in the least squares method?
What does the lm() function in R stand for?
What does the lm() function in R stand for?