Respond to the following in a minimum of 175 words:Models help us describe and summarize relationships between variables. Understanding how process variables relate to each other helps businesses predict and improve performance. For example, a marketing manager might be interested in modeling the relationship between advertisement expenditures and sales revenues.Consider the dataset below and respond to the questions that follow:Coleen MacielRespond to the following in a minimum of 125 words:Hello Professor and Class-What is meant by variable being related to each other is by the value of variable communicating to the value of another variable for each of the case in the data set. If you will, knowing the variable of one case can help one guess the value of the other variable. The fitted regression model is sales =-25.1682 + 4.9216 advertisement. The slope will come out to 4.9216 for every dollar that is used on advertising. The corresponding would be 4.9216 in increase sales. The seize would be 25.1682. Say that there are no dollars being used on advertisement then the sales that were predicted will come out to -25.1682. The regression coefficient value r 0.8237. The coefficient determination r^2 is 0.6785. This r^2 show that 67.85% variation in sales is explained by the listed model. This show the sales and company spends about $950,000 in advertisement. The calculated sales =-25.1682+4.9216*950=4650.3518. Model is underestimated.Thanks,ColeenLauren SaenzRespond to the following in a minimum of 125 words: NEWFor this week’s discussion we are to summarize the relationship between variables. Knowing this process helps us relate variables to one another to predict business outcomes and improve the business’s performance. For this week - the fitted regression model is sales = -25.1682+4.9216advertisement. We can calculate the slope is 4.9216 for every dollar that is spent on advertising. With that being said there is a corresponding 4.9216 increase in the sales. The intercept of this is 25.1682. I no dollar is ending up being spent on advertisement then the sales we predicted will be -25.1682. The regression coefficient value r is 0.8237. The coefficient determination r^2 is 0.6785. This r^2 lets us know that about 67.85% variation in sales is explained by the above model. This predicts sales and business spends about $950,000 in advertisement alone. This is calculated sales = -25.1682+4.9216*950 = 4650.3518. This model underestimated.

Competencies Determine the financial position of an organization by analyzing financial statements. Analyze financial ethics of an organization. Recommend a corporate finance strategy to enhance the value of an organization. Appraise organizational investments to maximize returns and minimize risk. Determine the financial sustainability of an organization based on trend analysis. Evaluate financial risk, cost of capital, and risk-reward tradeoffs. Scenario You work on the financial team of T-Mobile. During the current news section of the meeting, it was brought to your team’s attention that T-Mobile and Sprint just got approval to merge. This is huge news and the question posed to your team is how does this benefit all parties? Now T-Mobile’s financial team must go back and look at all that both companies have accomplished and what they would like to accomplish as a new company. As the financial manager, you have to come up with a business plan that shows the benefits of the merger so that your team will be on board with all the new changes. Instructions Using the data that has been provided, create a business plan for T-Mobile and Sprint to merge that addresses the following: Includes the financial position of each company by analyzing given financial statements. Provides a collated financial ethics plan for the new merger. Provides a new financial strategy to enhance the “one company” after the merger. Analyzes joined company investments and recommends strategies to maximize returns and minimize risks. Completes an industry trend analysis to determine the merger’s new financial sustainability. Evaluates financial risk, cost of capital, and any risk tradeoffs with the new merger.