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Answer the Questions That Follow This SPSS Output:
Model

question 21

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Answer the questions that follow this SPSS output:
Model Summary
 Model  R  R Square  Adjusted  R Square  Std. Error of  the Estimate 1.7013.491.4884889.41\begin{array}{|l|l|r|r|r|}\hline \text { Model } & \text { R } & \text { R Square } & \begin{array}{r}\text { Adjusted } \\\text { R Square }\end{array} & \begin{array}{r}\text { Std. Error of } \\\text { the Estimate }\end{array} \\\hline 1 & .701^{3} & .491 & .488 & 4889.41 \\\hline\end{array}
a. Predictors: (Constant), FEMALE SEX OF EMPLOYEE, TIME JOB SENIORITY, EDLEVEL EDUCATIONAL LEVEL
ANOVAᵇ
 Model  Sum of  Squares  df  Mean Square  F  Sig. 1 Regression 1.08E+1033810220508151.015.0003 Residual 1.12E+1047023906335.63 Total 2.21E+10473\begin{array}{|ll|r|r|l|l|l|}\hline \text { Model } & &{\text { Sum of }} & & & & \\&&\text { Squares } & \text { df } & \text { Mean Square } & \text { F } & \text { Sig. } \\\hline 1 & \text { Regression } & 1.08 \mathrm{E}+10 & 3 & 3810220508 & 151.015 & .000^{3} \\& \text { Residual } & 1.12 \mathrm{E}+10 & 470 & 23906335.63 & & \\& \text { Total } & 2.21 \mathrm{E}+10 & 473 & & & \\\hline\end{array}
a. Predictors: (Constant), FEMALE SEX OF EMPLOYEE, TIME JOE SENIORITY, EDLEVEL EDUCATIONAL LEVEL
b. Dependent Variable: SALNOW CURRENT SALARY
Coefficientsᵃ
Unstandardized Coefficients Standardi zed Coefficien tsmodel std. error  beta t sig.1 (Constant)5000.0002186.5832.390.017EDLEVEL EDUCATIONAL LEVEL 1000.00083.420.57216.232.000TIME JOB SENIORITY 20.00022.402.0411.237.217FEMALE SEX OF EMPLOYEE 3000.000483.223.2446.907.000\begin{array}{l}\begin{array} {| ll|l|l |l |l |l |l |} \hline &&\text {Unstandardized Coefficients }&&\text {Standardi zed Coefficien ts}\\\hline \text {model }&&\text {b }&\text {std. error }&\text { beta}&\text { t}&\text { sig.}\\\hline 1&\text { (Constant)}&-5000.000 &2186.583&&-2.390&.017\\&\text {EDLEVEL EDUCATIONAL LEVEL }&1000.000&83.420&.572&16.232&.000\\&\text {TIME JOB SENIORITY }&20.000&22.402& .041&1.237&.217\\&\text {FEMALE SEX OF EMPLOYEE }&-3000.000&483.223&-.244&-6.907&.000\\\hline\end{array}\end{array} a. Dependent Variable: SALNOW CURRENT SALARY
A) Is the regression model as a whole statistically significant? (yes / no)
B) Which of the independent variables, if any, have statistically significant coefficients? (If this step in hypothesis testing can be skipped, write the word "SKIP".)


Definitions:

Production Possibilities

The different quantities of goods that an economy can produce with a certain set of resources and technology.

Natural-Resource Abundant

Refers to countries or regions possessing significant amounts of valuable natural resources, such as minerals, oil, or fertile land, which can contribute to their economic growth and development.

Land-Intensive

Describes production processes or industries that require a large amount of land to produce goods or services, compared to labor or capital.

Petroleum Exports

The selling and shipment of petroleum products from one country to another.

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