Interpreting dataset multiple choice quiz for degree level students

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Questions and Answers

What is the appropriate method for handling missing data in this dataset?

  • Use the forward fill method to fill in missing values
  • Impute missing values based on the mean of the entire dataset
  • Apply multiple imputation to handle missing data (correct)
  • Remove rows with missing values entirely

Which statistical test would be most appropriate for analyzing the relationships in this dataset?

  • One-way ANOVA for comparing means of multiple groups
  • Chi-squared test for independence (correct)
  • Independent t-test for comparing means of two groups
  • Mann-Whitney U test for non-parametric comparison of two independent samples

What is the most effective method for reducing the dimensionality of this dataset?

  • Principal Component Analysis (PCA) (correct)
  • Stepwise regression
  • Lasso regression
  • Singular Value Decomposition (SVD)

When interpreting a raw dataset, which approach would be most appropriate for identifying outliers?

<p>Using the interquartile range (IQR) method to detect outliers (C)</p> Signup and view all the answers

In interpreting a raw dataset, which technique is most suitable for detecting multicollinearity among the independent variables?

<p>Variance inflation factor (VIF) (C)</p> Signup and view all the answers

When interpreting a raw dataset, which method is most appropriate for assessing the goodness of fit of a regression model?

<p>Akaike Information Criterion (AIC) (A)</p> Signup and view all the answers

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