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It Is Determined That a Positive Linear Association Exists Between =4.68+3.40= 4.68 + 3.40

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It is determined that a positive linear association exists between age (for children between the agesof 3 and 9 years) and attention span (measured in minutes) . The scatterplot below shows theassociation. The prediction equation is also given. A college instructor uses the model to predict theattention span of the students in her class who have an average age of 29. Choose the best statementto summarize why this is not an appropriate use for the model.

attention span =4.68+3.40= 4.68 + 3.40 (age)
 It is determined that a positive linear association exists between age (for children between the agesof 3 and 9 years)  and attention span (measured in minutes) . The scatterplot below shows theassociation. The prediction equation is also given. A college instructor uses the model to predict theattention span of the students in her class who have an average age of 29. Choose the best statementto summarize why this isnotan appropriate use for the model.  attention span  = 4.68 + 3.40  (age)    A)  This is an inappropriate use of the model because the model was used to make predictions beyond the scope of the data. The college instructor is extrapolating. B)  This is an inappropriate use of the model because age does not cause attention span to Increase. Correlation does not mean causation. C)  This is an inappropriate use of the model because a 29-year-old person would be an outlier In this context.

Understand the terminology and measurements used in ophthalmology.
Know the structure and function of the different parts of the eye.
Identify common eye diseases and their causes.
Recognize various eye examination procedures and their purposes.

Definitions:

Test Statistic

A calculated value from sample data that is used in a hypothesis test to determine whether to reject the null hypothesis.

Test Statistic

A statistical measure computed to assess the evidence against a null hypothesis in a testing framework.

Null Hypothesis

A statement used in statistical testing that assumes no effect or no difference and is tested against an alternative hypothesis.

Level Of Significance

The probability of making a Type I error when the null hypothesis is true as an equality.

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