Statistical Techniques & Data Interpretation Quiz

What is the aim of multivariate analysis?

• To evaluate multiple variables to find patterns and correlations

• To identify correlations between two variables

• To calculate correlation coefficients

• To conduct regression analysis

What does a correlation coefficient of '0' indicate?

• The variables are negatively correlated

• The variables are totally correlated with one another

• The variables are positively correlated

• The variables are not correlated

What is the purpose of a t-test?

• To compare the means of two groups

• To conduct regression analysis

• To compare the means of three or more groups

• To calculate correlation coefficients

What does the Durbin Watson statistic test for?

• Linear relationship between variables

• Independence of observations

• Constant variance of residuals

• Multicollinearity

What is the purpose of a scatter plot in bivariate analysis?

• To compare the means of two groups

• To calculate correlation coefficients

• To see the pattern that the variables show

• To conduct regression analysis

What is the assumption of constant variance of residuals in multiple linear regression?

• Must have a linear relationship between dependent and each independent variable

• Independent variables shouldn’t be highly correlated

• Residuals must have a constant variance

• Residuals should be normally distributed

When should a nonparametric alternative to the t test be used?

• When the data do not fit the assumptions of the t test

• When the data are independent

• When the data are normally distributed

• When the data have a similar amount of variance within each group being compared

What is the purpose of a regression analysis in bivariate analysis?

• To identify potential relationships between data points

• To calculate correlation coefficients

• To compare the means of two groups

• To evaluate multiple variables to find patterns and correlations

What does a VIF value greater than 5–10 indicate in multiple linear regression?

• The problem of multicollinearity

• The linear relationship between variables

• The constant variance of residuals

• The independence of observations

What is the purpose of a multiple regression model in bivariate analysis?

• To calculate correlation coefficients

• To understand which factors are likely to influence a certain outcome

• To compare the means of two groups

• To evaluate multiple variables to find patterns and correlations