Regression analysis was applied to return rates of sparrow hawk colonies. Regression analysis was used to study the relationship between return rate (x: % of birds that return to the colony in a given year) and immigration rate (y: % of new adults that join the colony per year). The following regression equation was obtained. ỹ = 31.9 – 0.34x. Based on the above estimated regression equation, if the return rate were to decrease by 20% the rate of immigration to the colony would Select one: a. none of any of these choices b. increase by 0.34% C. decrease by 6.8% d. increase by 6.8% e. decrease by 0.34%

Regression analysis was applied to return rates of sparrow hawk colonies. Regression analysis was used to study the relationship between return rate (x: % of birds that return to the colony in a given year) and immigration rate (y: % of new adults that join the colony per year). The following regression equation was obtained. ỹ = 31.9 – 0.34x. Based on the above estimated regression equation, if the return rate were to decrease by 20% the rate of immigration to the colony would Select one: a. none of any of these choices b. increase by 0.34% C. decrease by 6.8% d. increase by 6.8% e. decrease by 0.34%

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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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Regression analysis was applied to return rates of sparrow hawk colonies. Regression
analysis was used to study the relationship between return rate (x: % of birds that
return to the colony in a given year) and immigration rate (y: % of new adults that join
the colony per year).
The following regression equation was obtained. ỹ
= 31.9 – 0.34x.
Based on the above estimated regression equation, if the return rate were to decrease
by 20% the rate of immigration to the colony would
Select one:
a. none of any of these choices
b. increase by 0.34%
C. decrease by 6.8%
d. increase by 6.8%
e. decrease by 0.34%

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