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Due to erosion, a river shoreline is losing several thousand pounds of soil each year. A linear equation that expresses the total amount of soil lost per year is y = 12000x. Suppose the EDA strongly suggested a linear model with none of the assumptions being violated. This model implies that there is positive association between year and total amount of soil lost, thereby implying that the problem of soil erosion will persist (over time) under a linear model framework. no inferential statements can be made since normality is not given there is negative association between year and total amount of soil lost, thereby implying that the problem of soil erosion will fickle away (over time) under a linear model framework. there is no association between year and total amount of soil lost, because the slope is zero thereby implying time is not predictive of total amount of soil lost.

Due to erosion, a river shoreline is losing several thousand pounds of soil each year. A linear equation that expresses the total amount of soil lost per year is y = 12000x. Suppose the EDA strongly suggested a linear model with none of the assumptions being violated. This model implies that there is positive association between year and total amount of soil lost, thereby implying that the problem of soil erosion will persist (over time) under a linear model framework. no inferential statements can be made since normality is not given there is negative association between year and total amount of soil lost, thereby implying that the problem of soil erosion will fickle away (over time) under a linear model framework. there is no association between year and total amount of soil lost, because the slope is zero thereby implying time is not predictive of total amount of soil lost.

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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Due to erosion, a river shoreline is losing several thousand pounds of soil each year. A linear equation that expresses the total amount of soil lost per year is y = 12000x. Suppose the EDA strongly suggested a linear model with none of the assumptions being violated. This model implies that there is positive association between year and total amount of soil lost, thereby implying that the problem of soil erosion will persist (over time) under a linear model framework. no inferential statements can be made since normality is not given there is negative association between year and total amount of soil lost, thereby implying that the problem of soil erosion will fickle away (over time) under a linear model framework. there is no association between year and total amount of soil lost, because the slope is zero thereby implying time is not predictive of total amount of soil lost.
Transcribed Image Text:Due to erosion, a river shoreline is losing several thousand pounds of soil each year. A linear equation that expresses the total amount of soil lost per year is y = 12000x. Suppose the EDA strongly suggested a linear model with none of the assumptions being violated. This model implies that there is positive association between year and total amount of soil lost, thereby implying that the problem of soil erosion will persist (over time) under a linear model framework. no inferential statements can be made since normality is not given there is negative association between year and total amount of soil lost, thereby implying that the problem of soil erosion will fickle away (over time) under a linear model framework. there is no association between year and total amount of soil lost, because the slope is zero thereby implying time is not predictive of total amount of soil lost.
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