Which of the Following Statements Best Describes Correlation Analysis in a Simple

question 191

Short Answer

Which of the following statements best describes correlation analysis in a simple linear regression? $\begin{array}{|l|l|}\hline\text { A. } & \text {Correlation analysis measures the strength of a relationship between two }\\& \text {numerical variables. }\\\hline \text { B. } & \text { Correlation analysis measures the strength and direction of a linear} \\& \text {elationship between two numerical variables. }\\\hline \text { C. } &\text {Correlation analysis measures the direction of a relationship between two }\\& \text { numerical variables.}\\\hline \text { D. } &\text {Correlation analysis measures the strength of a relationship between }\\& \text {two categorical variables. }\\\hline\end{array}$

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Definitions:

Borrowing Funds

The act of obtaining money from external sources, like banks or investors, which must usually be repaid with interest.

Interest Expense

The cost incurred by an entity for borrowed funds, payable to lenders as a finance charge over the term of the loan.

Existing Account Payable

Existing Account Payable refers to accounts payable obligations that are currently outstanding, representing previous credit purchases yet to be settled.

Notes Payable

Short-term or long-term liabilities representing amounts owed to creditors or lenders, evidenced by a written promissory note.