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Instruction 13  OUTPUT \text { OUTPUT } Note: Adj R Square = Adjusted R Square; Std

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Instruction 13.13
A financial analyst wanted to examine the relationship between salary (in $1,000) and four variables: age (X1 = Age), experience in the field (X2 = Exper), number of degrees (X3 = Degrees) and number of previous jobs in the field (X4 = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:
 OUTPUT \text { OUTPUT }
 SUMMARY Regression  Statistics Multiple R 0.992 R Square 0.984 Adj. R Square 0.979 Std. Error 2.26743 Observations 20\begin{array}{ll}\text { SUMMARY}\\\text { Regression }&\text { Statistics}\\\text { Multiple R } & 0.992 \\\text { R Square } & 0.984 \\\text { Adj. R Square } & 0.979 \\\text { Std. Error } & 2.26743 \\\text { Observations } & 20\end{array}

 ANOVA  df  SS  MS F Signif F  Regression 44609.831641152.45791224.1600.0001 Residual 1577.118365.14122 Total 194686.95000\begin{array}{l}\text { ANOVA }\\\begin{array}{llllll} & \text { df } & \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}\end{array}

 Coeff  Std Error t 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}{lllll} & \text { Coeff } & \text { Std Error } & t \text { Stat } & p \text { 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}

Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error
-Referring to Instruction 13.13,the estimate of the unit change in the mean of Y per unit change in X4,taking into account the effects of the other three variables,is ___________.

Comprehend the parameters and properties of the F distribution.
Know the mean, median, mode, and range of the standard normal distribution and understand its properties.
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Comprehend the factors affecting boiling points in organic compounds.

Definitions:

Sticky-Price Theory

A theory proposing that prices of goods do not immediately adjust to changes in economic conditions, causing economic inefficiencies.

Aggregate Demand

The grand total of all demands for goods and services within an economic sphere, established at a certain collective price level during a fixed timeframe.

Aggregate Supply

The total supply of goods and services that firms in an economy plan on selling during a specific time period, at a given price level.

Capital Stock

The total amount of physical goods and financial assets that are used in the production of goods and services in an economy.

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