ContentвЫ 1953887b My Questions | bartleby+8 https://learn-eu-central-1-prod-fleet01-xythos.learn.cloudflare.blackboardcdn.com/5e8cacc75e657/1953887?X-Blackboard-Ex... T8...+O Page viewA Read aloud V Draw9 HighlightO Erase14of 49Australia's official development assistance (ODA) from 1984-85 until 1992-93 is shown (at currentprices, $ million) in Table 1.Table 1ODA($million)Year1984-8510111985-8610311986-879761987-8810201988-8911951989-9011741990-9112611991-9213301992-931384(a) Find the three- year moving averages to obtain the trend of the data.(b) Find the five-year moving averages for the data.1.8.3 Regression Analysis11:28 PMO Type here to searchA O G 4)4/10/2021

3 year moving average year ODA 3 year moving average 1984-85 1011 - 1985-86 1031 1006…

Answered: (a) Find the three- year moving…

(a) Find the three- year moving averages to obtain the trend of the data. (b) Find the five-year moving averages for the data. 1.8.3 Regression Analysis

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

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