Understanding Logistic Regression

What type of dependent variable is suitable for logistic regression?

• Continuous variable

• Categorical variable

• Ordinal variable

• Interval variable

Which of the following is an example of a logistic regression application in business?

• Calculating average sales

• Determining customer purchase likelihood

• Predicting employee salary

• Forecasting stock prices

In logistic regression, what is the main focus when analyzing dichotomous variables?

• Determining the mode

• Calculating the median

• Estimating the probability of occurrence

• Estimating the mean

Why is logistic regression preferred over linear regression for certain data types?

• It requires less data

• It is easier to calculate

• It is more accurate for all data types

• It provides a better fit for categorical data

What is the range of values for predictions in logistic regression?

• 0 to 1

• 0 to 100

• 0 to 10

• -1 to 1

What is the role of the logistic function in logistic regression?

• To calculate the mean

• To restrict predictions to between 0 and 1

• To determine the mode

• To estimate the median

Which online tool is mentioned for performing logistic regression?

• DataCalc

• StatSoft

• StatNet

• DataDeb

What type of variable should be chosen as the dependent variable for logistic regression?

• Numerical variable

• Discrete variable

• Continuous variable

• Categorical variable

Which of the following is NOT a step in performing logistic regression online as described?

• Choosing a dependent variable

• Using statistical software

• Selecting independent variables

• Calculating manually

What is the final task in logistic regression as mentioned in the video?

• Determining coefficients

• Calculating the mean

• Finding the median

• Estimating the mode