Improve Phase Test

If the correlation coefficient of two variables is zero, the two variables are independent?

Correlation implies causation?

R2 measures the proportion of variability in the data which can be explained by the model?

In a multiple linear regression analysis, the p-values of the insignificant predictors are the ones that are smaller than the alpha level?

When eliminating insignificant variables from a multiple linear regression model, we should remove all insignificant variables at the same time?

Multicollinearity is the situation when two or more independent variables in a multiple regression model are correlated with each other?

Replication in DOE increases the total degrees of freedom?

Fractional factorial experiments require fewer resources and runs than full factorial experiments?

Which of the following situations does NOT indicate that the simple linear regression model is statistically significant?

What is the total degrees of freedom of a simple linear regression model built using 25 data points?

Which of the following assumptions is NOT required to ensure the reliability of the linear regression model?

In a two-level full factorial DOE with four factors, how many runs should there be?

In an orthogonal design, the sum of products for each run should equal zero?

What is the resolution of a 23-1 DOE?

Pearson’s correlation coefficient measures both linear and non-linear relationship between two variables?

In a resolution III design, the main effects are confounded with?

A correlation coefficient of 0.00 means there is absolutely no relationship?

Which of the following correlation coefficients best represents a strong positive linear relationship?

Which of the following correlation coefficients best represents a strong inverse linear relationship?

Which of the following correlation coefficients best represents a moderate positive linear relationship?

Which of the following correlation coefficients best represents the absence of a linear relationship?

Which of the following correlation coefficients do not represent a perfect linear relationship?

Which of the following is a way in which you might deal with multicollinearity?

Would increasing the sample size be an effective way to deal multicollinearity?

If VIF ≥ 10, there is no multicollinearity?

If VIF = 1, there is no multicollinearity?

Experiments are passive studies in which historical data are used to conduct analysis?

In DOE the principle of parsimony suggests that the goal of DOE is to use the minimum amount of data to discover the maximum amount of information?

When two input factors are aliases of each other, the effects they each have on the response cannot be separated?

A Resolution III DOE confounds its main effect with?

A Resolution IV DOE confounds its main effect with?

A Resolution V DOE confounds its main effect with?

R2 is also referred to as the coefficient of determination?

_________ is used to model the linear relationship between one output and two or more inputs?

_______ are the vertical differences between actual values and the predicted values or the “fitted line” created by a regression model?

When the variance inflation factor of an independent variable is larger than ______ there is large multicollinearity for this variable in the model?

______ is the measure or quantifiable degree of confounding?

What is the primary purpose of linear correlation analysis?

Multiple linear regression is best described by which?

What is the coefficient in this regression formula: Length = 3.5 + 1.29 mass

Regression analysis does not rely on this assumption about the residuals

When are correlation and linear regression not used?

Which of the following statements is NOT correct?

When is the degree of association Moderate?

How is the transformation of non-normal data into normal data done?

What does a variance inflation factor (VIF) of 5 indicate?

One factor at a time (OFAT) is a type of DOE

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?

An interaction effect is the average change in the response variable resulting from changes in the levels of one factor?

Interaction effect is the average change in the response resulting from the change in the interaction of multiple factors?

Fractional factorials are less able to determine effects because of fewer degrees of freedom available to evaluate higher order interactions?

Factor levels are the selected settings of a factor we are testing in the experiment

_______ are the number of times running an individual treatment is repeated in a DOE?

An experiment design is ________ if the main effect of one factor can be evaluated independent of other factors.

_______is the quantification or degree of confounding in a DOE?

The following descriptions is best matched with which DOE term; The Y or Dependent Variable or Process output measurement?

The following descriptions is best matched with which DOE term; The change in the average response across two levels of a factor or between experimental conditions?

The following descriptions is best matched with which DOE term; The X’s or Inputs or Independent variables?

The following descriptions is best matched with which DOE term; Factor settings usually high and low, or + and -, or 1 and -1

Which of the following is a key advantage of DOE over passive learning?

Statistical process control can be used in different phases of six sigma projects, such as before and after implementation of improvements?