Thread: Please help

Please help. TIA.

• A scatter diagram:
  
  • In which the dependent variable is scaled along the vertical axis.
  • In which the dependent variable is scaled along the horizontal axis.
  • That portrays the relationship between two variables.
  • All of the above

• In correlation analysis
  
  • We consider several independent variables.
  • We study the strength of association between two variables.
  • We consider the intercept with the Y axis.
  • None of the above.

• The sample coefficient of correlation
  
  • Has the same sign as the slope (b)
  • Can range form -1.0 to + 1.0
  • Is sometimes referred to as Pearson’s r.
  • All of the above.

• The coefficient of determination
  
  • Is the square of the coefficient of correlation
  • Cannot be negative
  • Reports the percent of variation in the dependent variable explained by the independent variable.
  • All of the above.

• Consider the following least squares regression equation: Y = 3.5 + 2.1X. Which of the following statements are correct?
  
  • The dependent variable increases 2.1 for an increase of 1 in x.
  • The equation crosses the y axis at 3.5
  • All of the above
  • None of the above

6. Using the equation in problem 5, if the value of the independent variable is 4, what is the value of the dependent variable?

Originally Posted by Smf16

Please help. TIA.

• A scatter diagram:
  
  • In which the dependent variable is scaled along the vertical axis.
  • In which the dependent variable is scaled along the horizontal axis.
  • That portrays the relationship between two variables.
  • All of the above

• In correlation analysis
  
  • We consider several independent variables.
  • We study the strength of association between two variables.
  • We consider the intercept with the Y axis.
  • None of the above.

• The sample coefficient of correlation
  
  • Has the same sign as the slope (b)
  • Can range form -1.0 to + 1.0
  • Is sometimes referred to as Pearson’s r.
  • All of the above.

• The coefficient of determination
  
  • Is the square of the coefficient of correlation
  • Cannot be negative
  • Reports the percent of variation in the dependent variable explained by the independent variable.
  • All of the above.

• Consider the following least squares regression equation: Y = 3.5 + 2.1X. Which of the following statements are correct?
  
  • The dependent variable increases 2.1 for an increase of 1 in x.
  • The equation crosses the y axis at 3.5
  • All of the above
  • None of the above

6. Using the equation in problem 5, if the value of the independent variable is 4, what is the value of the dependent variable?

What answers have you chosen or are thinking of choosing? Most of these questions require nothing more than first reviewing the relevant parts of your class notes or textbook.