BUS 308 Week 4 Quiz
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 the statistical significance of correlations, (as a rule of thumb), variable pairs with coefficients greater than (>) 70% are generally not very valuable for prediction purposes.
STATUS
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 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.
