Which of the following technologies would be BEST suited for creating a multiple linear regression model?

Question

Options

• AMicrosoft Power BI
• BR
• CSQL
• DTableau

• A
  2% (1)
• B
  93% (57)
• C
  2% (1)
• D
  3% (2)

Explanation

R is a statistical programming language that is specifically designed for data analysis and statistical modeling, making it highly suitable for creating a multiple linear regression model. It has extensive libraries such as lm() for linear modeling, which simplifies the process of model creation, diagnostics, and interpretation. R also provides robust tools for data manipulation and visualization, which are essential for preparing data for regression analysis and understanding the results. While Microsoft Power BI, SQL, and Tableau have capabilities for regression analysis, they are more limited compared to R. Power BI and Tableau are primarily business intelligence tools that offer some built-in analytics capabilities, but they are not as comprehensive as R. SQL is a database query language that can perform some statistical calculations, but it is not inherently designed for statistical modeling.

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