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SCENARIO 17-3 a Financial Analyst Wanted to Examine the Relationship $1,000\$ 1,000

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SCENARIO 17-3 A financial analyst wanted to examine the relationship between salary (in $1,000\$ 1,000 ) and 4 variables: age (X1=Age)\left( X _ { 1 } = \mathrm { Age } \right) , experience in the field (X2=\left( X _ { 2 } = \right. Exper )) , number of degrees (X3=\left( X _ { 3 } = \right. Degrees )) , and number of previous jobs in the field ( X4=X _ { 4 } = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:

SUMMARY OUTPUT

 Regression Statistics  Multiple R 0.992 R Square 0.984 Adjusted R Square 0.979 Standard Error 2.26743 Observations 20\begin{array}{ll}{\text { Regression Statistics }} \\\text { Multiple R } & 0.992 \\\text { R Square } & 0.984 \\\text { Adjusted R Square } & 0.979 \\\text { Standard Error } & 2.26743 \\\text { Observations } & 20\end{array}


df SS  MS F Signif F Regression 44609.831641152.45791224.1600.0001 Residual 1577.118365.14122 Total 194686.95000\begin{array}{lrrrrr} & d f &{\text { SS }} & \text { MS } & F & \text { Signif } F \\\text { Regression } & 4 & 4609.83164 & 1152.45791 & 224.160 & 0.0001 \\\text { Residual } & 15 & 77.11836 & 5.14122 & & \\\text { Total } & 19 & 4686.95000 & & &\end{array}

 Coeff  StdError  Stat  P-value  Intercept 9.6111982.779886383.4570.0035 Age 1.3276950.1149193011.5530.0001 Exper 0.1067050.142655590.7480.4660 Degrees 7.3113320.803241879.1020.0001 Prevjobs 0.5041680.447715731.1260.2778\begin{array}{lrrrr} & {\text { Coeff }} & \text { StdError } & {\text { Stat }} & \text { P-value } \\\text { Intercept } & -9.611198 & 2.77988638 & -3.457 & 0.0035 \\\text { Age } & 1.327695 & 0.11491930 & 11.553 & 0.0001 \\\text { Exper } & -0.106705 & 0.14265559 & -0.748 & 0.4660 \\\text { Degrees } & 7.311332 & 0.80324187 & 9.102 & 0.0001 \\\text { Prevjobs } & -0.504168 & 0.44771573 & -1.126 & 0.2778\end{array}
-Referring to Scenario 17-3, the predicted salary for a 35-year-old person with 10 years of
experience, 3 degrees, and 1 previous job is ________.


Definitions:

Excludes1

A term used in medical coding indicating a mutually exclusive condition that cannot be coded together with the primary condition.

Excludes2

A term used in medical coding indicating that a condition is not included within a given category, without implying an absolute separation from related conditions.

ICD-10 Convention

An international classification system for diseases and related health problems, tenth edition, used for coding and reporting diagnoses and procedures in health care settings.

Principal Diagnosis

The diagnosis that is found, after testing and study, to be the main reason for the patient's need for healthcare services.

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