CONSIDER THE FOLLOWING MULTIPLE CHOICE QUESTIONS 1.1 Regression analysis was applied to return rates of White Stork colonies. Regression analysis was used to study the relationship between return rate (x: % of storks 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 y= 35.2 – 0.39x Based on the above estimated regression equation, if the return rate were to decrease by 10% the rate of immigration to the colony would: a. increase by 39% b. increase by 3.9% c. decrease by 0.39% d. decrease by 3.9% 1.2 In least squares regression, which of the following is not a required assumption about the error term ɛ? a. The expected value of the error term is one. b. The variance of the error term is the same for all values of x. c. The values of the error term are independent. d. The error term is normally distributed. 1.3 Larger values of r2 imply that the observations are more closely grouped about the a. average value of the independent variables b. average value of the dependent variable c. least squares line d. origin

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Chapter1: Equations And Graphs
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1. QUESTION
CONSIDER THE FOLLOWING MULTIPLE CHOICE QUESTIONS
1.1
Regression analysis was applied to return rates of White Stork colonies. Regression analysis
was used to study the relationship between return rate (x: % of storks 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
y= 35.2 – 0.39x
Based on the above estimated regression equation, if the return rate were to decrease by
10% the rate of immigration to the colony would:
a. increase by 39%
b. increase by 3.9%
c. decrease by 0.39%
d. decrease by 3.9%
1.2
In least squares regression, which of the following is not a required assumption about the
error term ɛ?
a. The expected value of the error term is one.
b. The variance of the error term is the same for all values of x.
c. The values of the error term are independent.
d. The error term is normally distributed.
1.3
Larger values of r² imply that the observations are more closely grouped about the
a. average value of the independent variables
b. average value of the dependent variable
c. least squares line
d. origin
Transcribed Image Text:1. QUESTION CONSIDER THE FOLLOWING MULTIPLE CHOICE QUESTIONS 1.1 Regression analysis was applied to return rates of White Stork colonies. Regression analysis was used to study the relationship between return rate (x: % of storks 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 y= 35.2 – 0.39x Based on the above estimated regression equation, if the return rate were to decrease by 10% the rate of immigration to the colony would: a. increase by 39% b. increase by 3.9% c. decrease by 0.39% d. decrease by 3.9% 1.2 In least squares regression, which of the following is not a required assumption about the error term ɛ? a. The expected value of the error term is one. b. The variance of the error term is the same for all values of x. c. The values of the error term are independent. d. The error term is normally distributed. 1.3 Larger values of r² imply that the observations are more closely grouped about the a. average value of the independent variables b. average value of the dependent variable c. least squares line d. origin
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