Improve Phase Test GB

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?

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?

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

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?

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?

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?

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

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?