This document contains 3 sets of 10 multiple choice questions about statistical analysis concepts covered in BUS 308 Week 4, including correlation coefficients, p-values, regression analysis, and determining statistical significance. The questions assess understanding of topics like what a Pearson correlation measures, interpreting p-values, identifying dependent and independent variables, and how to read outputs from regression analyses. Answers to similar questions are repeated across the three sets to reinforce the statistical concepts.

1. ASH BUS 308 Week 4 Quiz (3 Set) NEW
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Question 1. The t Stat value is used to determine the statistical
significance of each of the variables listed in a regression
analysis.
Question 2. A correlation of .90 and above is generally
considered too strong to be of any practical significance.
Question 3. A p-value of 9.22E-36 equals
0.00000000000000000000000000000000000922 and is less
than .05
Question 4. If two variables are known to be correlated, it is
possible to predict the value of y (dependent variable) from an
x (independent) variable.
Question 5. When determining statistical significance of
correlations, (as a rule of thumb), variable pairs with
coefficients greater than (>) 70% are generally not very
valuable for prediction purposes.
Question 6. Which statement does not belong?
Question 7. Pearson Correlation Coefficient is a mathematical
value that shows the strength of the linear (straight line)
relationship between two variables.
Question 8. A regression analysis uses two distinct types of
data. The first are variables that are at least nominal level.
Question 9. The ANOVA table provides the Significance of F to
use to see if we reject or fail to reject the null hypothesis of no
significance. The Significance of F is also known as the P-value.
Question 10. When performing a regression analysis using the

2. Regression option in Data Analysis, the input for the Y range is
the independent variable (can generally control) and the input
X range is for the dependent variables.
BUS 308 Week 4 Quiz Set 2
Question 1. When determining statistical significance of
correlations, (as a rule of thumb), variable pairs with
coefficients greater than (>) 70% are generally not very
valuable for prediction purposes.
Question 2. A p-value of 9.22E-36 equals
0.00000000000000000000000000000000000922 and is less
than .05
Question 3. Pearson Correlation Coefficient is a mathematical
value that shows the strength of the linear (straight line)
relationship between two variables.
Question 4. A Pearson correlation of +1.00 is considered a
“perfect positive correlation”. This means….
Question 5. Spearman’s rank order correlation (rho) can be
performed on ordinal or any ranked data.
Question 6. The t Stat value is used to determine the statistical
significance of each of the variables listed in a regression
analysis.
Question 7. Pearson’s Correlation requires at least interval
level data.
Question 8. If two variables are known to be correlated, it is
possible to predict the value of y (dependent variable) from an
x (independent) variable.
Question 9. A correlation of .90 and above is generally
considered too strong to be of any practical significance.
Question 10. When looking at a regression statistics table,
Multiple R displays the percent of variation in common
between the dependent and all of the independent variables.
BUS 308 Week 4 Quiz Set 3

3. Question 1. Pearson’s Correlation requires at least interval
level data.
Question 2. A p-value of 9.22E-36 equals
0.00000000000000000000000000000000000922 and is less
than .05
Question 3. When plotting variables on a scatter diagram, the
variables plotted on the Y-axis is the horizontal axis and the X-
axis is the vertical axis.
Question 4. If two variables are known to be correlated, it is
possible to predict the value of y (dependent variable) from an
x (independent) variable.
Question 5. When determining statistical significance of
correlations, (as a rule of thumb), variable pairs with
coefficients greater than (>) 70% are generally not very
valuable for prediction purposes.
Question 6. A correlation of .90 and above is generally
considered too strong to be of any practical significance.
Question 7. A Pearson correlation of +1.00 is considered a
“perfect positive correlation”. This means….
Question 8. When looking at a regression statistics table,
Multiple R displays the percent of variation in common
between the dependent and all of the independent variables.
Question 9. Which statement does not belong?
Question 10. The t Stat value is used to determine the
statistical significance of each of the variables listed in a
regression analysis.