GIS Modelling and applications - Quiz 1

What is the basic objective of regression analysis in GIS?

• To classify data into different categories

• To measure the central tendency of a data set

• To estimate the relationships among variables

• To determine the mode of a data set

Which is not a data type often analyzed in statistical models?

• Binary

• Continuous

• Nominal

• Textual

Which is not a step involved in regression analysis?

• Identify key explanatory variables

• Calculating the mean and median of the dataset

• Examine the coefficients

• Try different regression models

What are the applications of regression analysis?

• Predicting future sales based on past data

• Organizing data into hierarchical structures

• Encrypting sensitive data for security

• Formatting data for presentation

What is the purpose of logistic regression in statistical analysis?

• To predict continuous outcomes

• To estimate probabilities of a binary outcome

• To organize data into clusters

• To calculate the mode of a dataset

How is linear regression different from logistic regression?

• Linear regression is used for binary outcomes, while logistic regression is for continuous outcomes

• Linear regression estimates probabilities, while logistic regression predicts continuous values

• Linear regression assumes a linear relationship, while logistic regression models binary outcomes

• Linear regression is used for classification, while logistic regression is for regression analysis

What is the significance of the coefficient of determination in regression analysis?

• It measures the strength of the relationship between variables

• It determines the mode of the dataset

• It classifies data into different categories

• It calculates the mean and median of the dataset

Residuals = the _______ portion of the dependent variable

Draw the function used in Logistic regression

What can you say if the residual map of a regression analysis is random?