A Pearson correlation of +1.00 is considered a “perfect positive correlation.” This means….

Question 1A Pearson correlation of +1.00 is considered a “perfect positive correlation.” This means….

  the variable values would graph as a perfect vertical line

  the variable values would graph as a perfect horizontal line

  has the line with a positive slope and runs from the lower left to the upper right

  has the line with a positive slope and runs from the upper left to the lower right

 Question 2Since no P-value is available, the t Statistic values are used to determine the statistical significance of each of the variables listed in a regression analysis.

  True

  False

 Question 3Multiple regression equations can use nominal variables as inputs if they are coded as dummy variables.

  True

  False

 Question 4In the generic multiple regression equation is Y = A + B1*X1 + B2*X2 + …, what does B1 stand for?

  The Predicted output variable.

  The input variable.

  The Intercept

  The coefficient of an independent variable

 Question 5The statistical significance of a correlation is determined by an F-statistic.

  True

  False

 Question 6Excel functions that produce the Pearson Correlation Coefficient include:

  The Fx Function Correl.

  The Formulas Function Correl.

  The Data Analysis Function Correlation

  All of the above.

 Question 7The data analysis function Correlation can be used for a single or multiple data sets.

  True

  False

 Question 8Linear correlations will perfectly predict variable importance in a multiple regression equation.

  True

  False

 Question 9A correlation of .90 and above is generally considered too strong to be of any practical significance.

  True

  False

 Question 10The statistical significance of a correlation is determined by a t-statistic.

  True

  False