Test1

What is the main purpose of logistic regression?

• To predict continuous numerical values

• To find the line of best fit in a scatter plot

• To model the probability of a binary outcome

• To reduce the number of features in a dataset

In binary logistic regression, the target variable can take which values?

• Any real number

• 0 or 1

• Only positive integers

• -1 and 1

What is the range of output probabilities in logistic regression?

• 0 to ∞

• -∞ to ∞

• -1 to 1

• 0 to 1

Which of the following statements about logistic regression is TRUE?

• It assumes the dependent variable is continuous.

• It uses the least squares method to estimate coefficients.

• It is sensitive to multicollinearity among predictors.

• It cannot be used for classification problems.

What does an odds ratio greater than 1 imply in logistic regression?

• The predictor has no effect

• The event is less likely to occur

• The predictor is negatively associated with the outcome

• The event is more likely to occur

What is an odds ratio (OR)?

• The ratio of two probabilities

• The ratio of two odds

• The sum of two log-odds

• The difference in means

An odds ratio greater than 1 indicates:

• A negative association between exposure and outcome

• A positive association between exposure and outcome

• No association

• A confounded result

If the odds ratio for a variable is 1, what does it mean?

• The variable increases the probability of the outcome

• The variable has no effect on the odds of the outcome

• The variable is highly significant

• The outcome is guaranteed

A logistic regression model outputs a coefficient of 1.2 for a binary predictor. What is the odds ratio?

• 1.2

• 2.72

• 0.3

• e^1.2

Which of the following statements is true about odds and odds ratios?

• Odds are always greater than 1

• Odds ratios can be negative

• Odds ratios are always non-negative

• Odds ratios equal probabilities