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Questions and Answers
What is the appropriate method for handling missing data in this dataset?
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?
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?
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?
When interpreting a raw dataset, which approach would be most appropriate for identifying outliers?
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In interpreting a raw dataset, which technique is most suitable for detecting multicollinearity among the independent variables?
In interpreting a raw dataset, which technique is most suitable for detecting multicollinearity among the independent variables?
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When interpreting a raw dataset, which method is most appropriate for assessing the goodness of fit of a regression model?
When interpreting a raw dataset, which method is most appropriate for assessing the goodness of fit of a regression model?
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