When Using Logistic Regression, Where P Being the Probability That $p\left(\beta_{0}+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}\right)$

question 10

Multiple Choice

When using logistic regression, where p being the probability that the dependent variable Y = 1, X1, X2 ..., Xk are the independent variables, and β0, β1, β2 ..., βk are unknown regression coefficients, is called the odds of belonging to category 1(Y = 1) .

• A) \( p\left(\beta_{0}+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}\right) \)
• B) \( \frac{p}{1+k_{k}-\beta 0+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}} \)
• C) \( \frac{p}{1-p} \)
• \( \Sigma \beta_{i} X_{i} \)
• D) \( \frac{i=1}{p} \)

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Definitions:

Marketability

Marketability refers to the ease with which a product or service can be sold or marketed to customers.

Price-Earnings Ratio

A valuation metric that measures a company's current share price relative to its per-share earnings, used to gauge if a stock is under or over-valued.

Common Stock

The stock outstanding when a corporation has issued only one class of stock.

Dividend Yield

A ratio, computed by dividing the annual dividends paid per share of common stock by the market price per share at a specific date, that indicates the rate of return to stockholders in terms of cash dividend distributions.