Use the Table Below to Answer the Following Question(s) -What's the Total Retirement Balance When Sheila Has Reached the Joined

question 64

Multiple Choice

Use the table below to answer the following question(s) .
Sheila joined Simsin Tradings at the age of 36 with a starting salary of $75,000. She expects a salary increase of 5 percent every year. Her retirement plan requires her to pay 9 percent of her salary, while the company matches it at 32 percent. She expects an annual return of 7 percent on her retirement portfolio. Using a predictive model for Sheila's first five years, calculate the following, assuming that the salary increases at the same rate every year, and the return of interest does not change. $\begin{array}{|l|l|}\hline \text { Retirement Plan Model for Sheila } & \\\hline & \\\hline \text { Data } & \\\hline & \\\hline \text { Retirement Contribution (percent of salary) } & 9 \text { percent } \\\hline \text { Employer Match } & 32 \text { percent } \\\hline \text { Annual Salary Increase } & 5 \text { percent } \\\hline \text { Annual Return on Investment } & 7 \text { percent } \\\hline\end{array}$
-What's the total retirement balance when Sheila has reached the age of 40 while working with Simsin?

• A) $108,374.54
• B) $56,253.36
• C) $53,627.87
• D) $91,163

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Definitions:

Multicollinearity

A statistical phenomenon in which multiple independent variables in a regression model are highly linearly related, affecting the model’s accuracy.

Multicollinearity

A statistical phenomenon in which several independent variables in a regression model are highly correlated, potentially distorting the results of regression analysis.

Regression Coefficients

Parameters in a regression model that represent the change in the dependent variable expected for a one-unit change in the predictor variable, holding all else constant.

Independent Variables

Variables in an analysis that are manipulated or categorized to observe their effect on the dependent variable.