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Chapter 21 of 22
Formula Sheet

Regression

ICSE · Class 11 · Artificial Intelligence

All formulas from Regression in ICSE Class 11 Artificial Intelligence. Key equations, constants, and identities for board exam preparation.

52 questions32 flashcards5 concepts

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10 Formulas · 3 Sections

Formulas

Types of Regression

y = mx + b

y = a + bx

y = a + b1x1 + b2x2 + ... + bnxn

Linear Regression and Coefficients

y = mx + b

A linear equation is an equation where the highest power of the variable is 1.

Regression Line and Least Squares

Y = a + bx + u

Y = a + b1x1 + b2x2 + b3x3 + ... + btxt + u

m = [NΣ(xy) - Σx Σy] / [NΣ(x^2) - (Σx)^2]

b = (Σy - mΣx) / N

y = mx + C

Full sheet with units and worked examples

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Frequently Asked Questions

What are the important topics in Regression for ICSE Class 11 Artificial Intelligence?
Regression covers several key topics that are frequently asked in ICSE Class 11 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Regression — ICSE Class 11 Artificial Intelligence?
Understand the core concepts first, then work through the 52 practice questions available for this chapter. Revise formulas and definitions regularly, and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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