Practice Principle Of Least Squares (13.5.1) - Errors and Adjustments - Geo Informatics
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Principle of Least Squares

Practice - Principle of Least Squares

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Practice Questions

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Question 1 Easy

What does the Principle of Least Squares aim to minimize?

💡 Hint: Think about the differences between observed and adjusted values.

Question 2 Easy

Name one assumption of the Principle of Least Squares.

💡 Hint: How do errors behave in this adjustment method?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the Principle of Least Squares aim to minimize?

The sum of absolute values
The sum of squares of residuals
The sum of average values

💡 Hint: Think about the formula for residuals and what we are trying to achieve.

Question 2

True or False: The observations in least squares adjustment can be assumed to have equal precision.

True
False

💡 Hint: Consider how adjustments might differ based on reliability.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the following observed values: [3, 5, 7, 8] and adjusted values: [2.5, 4.5, 6.5, 7.5], calculate the residuals and their sum of squares. Discuss how changing one of the observed values may affect the outcome.

💡 Hint: Calculate residuals individually before summing them.

Challenge 2 Hard

Discuss the implications of violating the assumption of random error distribution in least squares adjustment. What strategies can be employed to address systematic errors in datasets?

💡 Hint: Use examples from data collection processes to illustrate your answer.

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