1,000 Eighteen pairs of measurements were taken at random to estimate the relation between variables X and Y. A least-squares line was fitted to the collected data. The resulting residual plot is shown. Residuals 500 0 50 100 150 200 250 -500 -1,000 Which of the following conclusions is appropriate? O The assumption of the Law of Averages has been violated. O The variables X and Y are not related at all. A line is an appropriate model to describe the relation between X and Y. A line is not an appropriate model to describe the relation between X and Y. ○ There is not enough information about the variables X and Y to form a conclusion.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
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Question
1,000
Eighteen pairs of measurements were taken at random to estimate the relation between variables X and Y. A least-squares line was fitted to the collected data. The resulting residual plot is shown.
Residuals
500
0
50
100
150
200
250
-500
-1,000
Which of the following conclusions is appropriate?
O The assumption of the Law of Averages has been violated.
O The variables X and Y are not related at all.
A line is an appropriate model to describe the relation between X and Y.
A line is not an appropriate model to describe the relation between X and Y.
○ There is not enough information about the variables X and Y to form a conclusion.
Transcribed Image Text:1,000 Eighteen pairs of measurements were taken at random to estimate the relation between variables X and Y. A least-squares line was fitted to the collected data. The resulting residual plot is shown. Residuals 500 0 50 100 150 200 250 -500 -1,000 Which of the following conclusions is appropriate? O The assumption of the Law of Averages has been violated. O The variables X and Y are not related at all. A line is an appropriate model to describe the relation between X and Y. A line is not an appropriate model to describe the relation between X and Y. ○ There is not enough information about the variables X and Y to form a conclusion.
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