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Data Was Collected from 40 Employees to Develop a Regression

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Data was collected from 40 employees to develop a regression model to predict the employee's annual salary using their years with the company (Years),their starting salary (Starting),and their Gender (Male = 0,Female = 1).The results from Excel regression analysis are shown below:
 RegresionSlalinlics  Multiple R  0.719714957  R Square  0.516551199  Adjusted R Square 0.476253780 Standard Errar 10515.63461 Dbservations 40\begin{array}{l}\begin{array} { l r } \hline { \text { RegresionSlalinlics } } \\\hline \text { Multiple R } & \text { 0.719714957 } \\\text { R Square } & \text { 0.516551199 } \\\text { Adjusted R Square } & 0.476253780 \\\text { Standard Errar } & 10515.63461 \\\text { Dbservations } & 40 \\\hline\end{array}\\\end{array}

 ANOVA \text { ANOVA }
 of  SS  MS F Significance F Regression 34334682510144489417012.821655857.48476E06 Residual 364056901131112691698.1 Total 398391583641\begin{array}{lrrrrrr}\hline & \text { of } & & \text { SS } & \text { MS } & F & \text { Significance } F \\\hline \text { Regression } & 3 & 4334682510 & 1444894170 & 12.82165585 & 7.48476 \mathrm{E}-06 \\\text { Residual } & 36 & 4056901131 & 112691698.1 & & \\\text { Total } & 39 & 8391583641 & & & \\\hline\end{array}

 Coefficients  Standard Error t Stat P-value  Intercept 27946.578944832.4387065.7831212451.35464E06 Years 1665.251558425.08290923.9174747370.000383313 Starting 0.2663741850.126104432.1123301120.041661598 Gender 3285.5410435617.1453920.5849129430.56225464\begin{array}{lcrrr}\hline & \text { Coefficients } &{\text { Standard Error }} & {t \text { Stat }} &{P \text {-value }} \\\hline \text { Intercept } & 27946.57894 & 4832.438706 & 5.783121245 & 1.35464 \mathrm{E}-06 \\\text { Years } & 1665.251558 & 425.0829092 & 3.917474737 & 0.000383313 \\\text { Starting } & 0.266374185 & 0.12610443 & 2.112330112 & 0.041661598 \\\text { Gender } & -3285.541043 & 5617.145392 & -0.584912943 & 0.56225464\end{array}


-In testing the null hypothesis that the regression equation is not significant at the 0.05 level,what is the appropriate conclusion?


Definitions:

Behavioral Approach

A psychological perspective focusing on observable behaviors and the ways in which they can be learned, changed, or extinguished.

Habitual Behaviors

Actions that are regularly practiced, often performed unconsciously due to being ingrained through repetition in daily routines.

Second-Order Conditioning

A form of conditioning where a stimulus that's paired with a conditioned stimulus becomes a conditioned stimulus itself.

Classical Conditioning

A training method where two signals are consistently associated together, leading to a situation where a reaction originally triggered by the second signal is later triggered by the first signal on its own.

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