Least Square Method: How to Find Trend Values, Growth rate

Описание: Least Square Method: How to Find Trend Values is explained in this video in a simple, step-by-step manner for students who want to clearly understand trend analysis and growth rate calculation. In the first part of this lesson, the Least Square Method is introduced using easy language so that even beginners can follow without confusion.

This video teaches how to find trend values using the straight line method with practical numerical examples. You will learn how to calculate the values of a and b, construct the trend equation, and finally compute trend values for different years or periods. Along with this, the concept of growth rate is explained so students can understand how trends increase or decrease over time.

This video is especially useful for BBA, BBS, MBS, MBA, and other management students, as well as students preparing for statistics, business mathematics, and research method exams. If you often find questions from trend analysis confusing, this lesson will help you build strong fundamentals. The Least Square Method is explained without heavy theory, focusing more on exam-oriented problem solving.

By watching this video, students will learn:
What the Least Square Method is and why it is used
How to apply the straight line method to time series data
How to calculate trend values step by step
How to understand and interpret growth rate
How to solve exam-based numerical problems confidently

This video is perfect for beginners, revision before exams, and anyone who wants a clear explanation of trend values and growth rate calculation. Make sure to watch till the end for a complete understanding.

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0:00 intro
1:23 straight line equation least square method
2:25 time period add in column of least square method
5:43 how to find value of a and b in time series analysis using lsm
6:40 trend value in lsm method
10:05 monthly increaing or growth rate in time series
10:54 estimated value in time series
12:46 monthly equation and quartely equation in time series
15:24 estimate the monthly value
21:23 company A and company B compare type question

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