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Use the Following to Answer the Question(s) Below

question 18

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Use the following to answer the question(s) below.
Weekly commodity prices for heating oil (in cents) were obtained and regressed against time. Below is the regression output and residual plots from fitting a linear model. Use the following to answer the question(s)  below. Weekly commodity prices for heating oil (in cents)  were obtained and regressed against time. Below is the regression output and residual plots from fitting a linear model.         -Which of the following statements is true? A)  The t-test for the regression slope indicates that it is significantly different from zero. B)  The model explains 71.9% of the variability in heating oil prices. C)  The linear model is appropriate. D)  The t-test for the regression slope indicates that it is significantly different from zero and the model explains 71.9% of the variability in heating oil prices. E)  All of the statements given are true. Use the following to answer the question(s)  below. Weekly commodity prices for heating oil (in cents)  were obtained and regressed against time. Below is the regression output and residual plots from fitting a linear model.         -Which of the following statements is true? A)  The t-test for the regression slope indicates that it is significantly different from zero. B)  The model explains 71.9% of the variability in heating oil prices. C)  The linear model is appropriate. D)  The t-test for the regression slope indicates that it is significantly different from zero and the model explains 71.9% of the variability in heating oil prices. E)  All of the statements given are true. Use the following to answer the question(s)  below. Weekly commodity prices for heating oil (in cents)  were obtained and regressed against time. Below is the regression output and residual plots from fitting a linear model.         -Which of the following statements is true? A)  The t-test for the regression slope indicates that it is significantly different from zero. B)  The model explains 71.9% of the variability in heating oil prices. C)  The linear model is appropriate. D)  The t-test for the regression slope indicates that it is significantly different from zero and the model explains 71.9% of the variability in heating oil prices. E)  All of the statements given are true. Use the following to answer the question(s)  below. Weekly commodity prices for heating oil (in cents)  were obtained and regressed against time. Below is the regression output and residual plots from fitting a linear model.         -Which of the following statements is true? A)  The t-test for the regression slope indicates that it is significantly different from zero. B)  The model explains 71.9% of the variability in heating oil prices. C)  The linear model is appropriate. D)  The t-test for the regression slope indicates that it is significantly different from zero and the model explains 71.9% of the variability in heating oil prices. E)  All of the statements given are true.
-Which of the following statements is true?


Definitions:

Eligibility for Benefits

Criteria that determine if individuals or groups qualify for certain advantages or services.

Predetermination

The act of deciding or establishing something in advance, often before relevant data or events are known.

Preauthorization

Prior approval of insurance coverage and necessity of procedure; refers to obtaining plan approval for services prior to the patient receiving them; relates not only to whether the services are covered but also whether the proposed treatment is medically necessary.

Medically Necessary

A term used to describe treatments, services, or supplies needed to diagnose or treat a medical condition, determined by healthcare providers.

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