Improve Phase Test GB
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Question 1 of 34
1. Question
If the correlation coefficient of two variables is zero, the two variables are independent?
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Question 2 of 34
2. Question
Correlation implies causation?
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Question 3 of 34
3. Question
R2 measures the proportion of variability in the data which can be explained by the model?
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Question 4 of 34
4. Question
In a multiple linear regression analysis, the pvalues of the insignificant predictors are the ones that are smaller than the alpha level?
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Question 5 of 34
5. Question
When eliminating insignificant variables from a multiple linear regression model, we should remove all insignificant variables at the same time?
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Question 6 of 34
6. Question
Multicollinearity is the situation when two or more independent variables in a multiple regression model are correlated with each other?
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Question 7 of 34
7. Question
Replication in DOE increases the total degrees of freedom?
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Question 8 of 34
8. Question
Which of the following situations does NOT indicate that the simple linear regression model is statistically significant?
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Question 9 of 34
9. Question
What is the total degrees of freedom of a simple linear regression model built using 25 data points?
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Question 10 of 34
10. Question
Which of the following assumptions is NOT required to ensure the reliability of the linear regression model?
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Question 11 of 34
11. Question
Pearson’s correlation coefficient measures both linear and nonlinear relationship between two variables?
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Question 12 of 34
12. Question
A correlation coefficient of 0.00 means there is absolutely no relationship?
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Question 13 of 34
13. Question
Which of the following correlation coefficients best represents a strong positive linear relationship?
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Question 14 of 34
14. Question
Which of the following correlation coefficients best represents a strong inverse linear relationship?
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Question 15 of 34
15. Question
Which of the following correlation coefficients best represents a moderate positive linear relationship?
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Question 16 of 34
16. Question
Which of the following correlation coefficients best represents the absence of a linear relationship?
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Question 17 of 34
17. Question
Which of the following correlation coefficients do not represent a perfect linear relationship?
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Question 18 of 34
18. Question
Which of the following is a way in which you might deal with multicollinearity?
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Question 19 of 34
19. Question
Would increasing the sample size be an effective way to deal multicollinearity?
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Question 20 of 34
20. Question
If VIF ≥ 10, there is no multicollinearity?
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Question 21 of 34
21. Question
If VIF = 1, there is no multicollinearity?
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Question 22 of 34
22. Question
R2 is also referred to as the coefficient of determination?
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Question 23 of 34
23. Question
_________ is used to model the linear relationship between one output and two or more inputs?
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Question 24 of 34
24. Question
_______ are the vertical differences between actual values and the predicted values or the “fitted line” created by a regression model?
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Question 25 of 34
25. Question
When the variance inflation factor of an independent variable is larger than ______ there is large multicollinearity for this variable in the model?
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Question 26 of 34
26. Question
What is the primary purpose of linear correlation analysis?
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Question 27 of 34
27. Question
Multiple linear regression is best described by which?
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Question 28 of 34
28. Question
What is the coefficient in this regression formula: Length = 3.5 + 1.29 mass
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Question 29 of 34
29. Question
Regression analysis does not rely on this assumption about the residuals
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Question 30 of 34
30. Question
When are correlation and linear regression not used?
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Question 31 of 34
31. Question
Which of the following statements is NOT correct?
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Question 32 of 34
32. Question
When is the degree of association Moderate?
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Question 33 of 34
33. Question
What does a variance inflation factor (VIF) of 5 indicate?
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Question 34 of 34
34. Question
Your multiple regression model returned 3 variables that were significant, and the model looks good based on all other measures. Of the 3 variables, which one has the most influence on your “Y?
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