The following data is given x 0.2 0.5 1 2 3 y 3 2 1.4 1 0.6 Using the transformed linear regression, which are m and b in the function 1/(mx+b) ? Group of answer choices m=0.5842, b=0.4 m=0.4488, b=0.2415 m=1.5, b=2.5 m=1, b=2.4 m=0.8173, b=0.445
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The following data is given
x | 0.2 | 0.5 | 1 | 2 | 3 |
y | 3 | 2 | 1.4 | 1 | 0.6 |
Using the transformed linear regression, which are m and b in the function 1/(mx+b) ?
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- You want to take out a 450,000 loan on a 20-year mortgage with end-of-month payments. The annual rate of interest is 3%. Twenty years from now, you will need to make a 50,000 ending balloon payment. Because you expect your income to increase, you want to structure the loan so at the beginning of each year, your monthly payments increase by 2%. a. Determine the amount of each years monthly payment. You should use a lookup table to look up each years monthly payment and to look up the year based on the month (e.g., month 13 is year 2, etc.). b. Suppose payment each month is to be the same, and there is no balloon payment. Show that the monthly payment you can calculate from your spreadsheet matches the value given by the Excel PMT function PMT(0.03/12,240, 450000,0,0).An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation. - Use these data to develop an estimated regression equation that could be used to predict the total cost for a given production volume.- What is the variable cost per unit produced?- Compute the coefficient of determination. What percentage of the variation in total cost can be explained by production volume?- The company’s production schedule shows 500 units must be produced next month. Predict the total cost for this operation.Regression analysis is a powerful and commonly used tool in business research. One important step in regression is to determine the dependent and independent variable(s). In a bivariate regression, which variable is the dependent variable and which one is the independent variable? What does the intercept of a regression tell? What does the slope of a regression tell? What are some of the main uses of a regression? Provide an example of a situation wherein a bivariate regression would be a good choice for analyzing data. Justify your answers using examples and reasoning.
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