Provide explanation and justification on the following: a. How to select the different functional forms? b. Discuss the TWO (2) approaches to determine whether the rejection or non-rejection of the null hypothesis. c. What are the possible diagnostic problems?
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Provide explanation and justification on the following:
a. How to select the different functional forms?
b. Discuss the TWO (2) approaches to determine whether the rejection or non-rejection of the null hypothesis.
c. What are the possible diagnostic problems?
d. Discuss the solution to overcome TWO (2) diagnostic problems?
e. In terms of econometric perspective, what are the assumptions or elements that
you need to consider in developing the model for estimation.
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- The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?Stock market analysts are continually looking for reliable predictors of stock prices. Consider the problem of modeling the price per share of electric utility stocks (Y). Two variables thought to influence this stock price are return on average equity (X1) and annual dividend rate (X2). The stock price, returns on equity, and dividend rates on a randomly selected day for 16 electric utility stocks are provided in the file P13_15.xlsx. Estimate a multiple regression equation using the given data. Interpret each of the estimated regression coefficients. Also, interpret the standard error of estimate and the R-square value for these data.The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?
- A small computer chip manufacturer wants to forecast monthly ozperating costs as a function of the number of units produced during a month. The company has collected the 16 months of data in the file P13_34.xlsx. a. Determine an equation that can be used to predict monthly production costs from units produced. Are there any outliers? b. How could the regression line obtained in part a be used to determine whether the company was efficient or inefficient during any particular month?Answer the following scenarios by providing the applicable analysis type and benefits: a. The Marketing Department is planning a "direct mailing" campaign. To minimize the cost of the campaign it should determine which customers are most likely to respond to the offer. b. The Sales Department, in order to increase sales, has to decide which combination of products should be recommended to a particular customer. c. The Marketing Department is to prepare or modify the products and services offer so that it optimally matches the needs of different customers. d. The CRM Department is to determine the profile of clients who intend to resign from our services, and then take actions to keep themwhat is the standardized regression? what do the standardized regression weights or coefficients tell us about the ability of the predictors to predict the dependent variable?
- Interpret the coefficients of your regression model. Specifically, what does the fixed component of the model mean to the consulting firm? Interpret the fixed term, b 0b0, if appropriate. Choose the correct answer below. A. It is not appropriate to interpret b 0b0, because its value is the predicted billable hours for overhead costs of 0 dollars, but the firm cannot have overhead costs of 0 dollars associated with a client. B. The value of b 0b0 is the predicted overhead costs for 0 billable hours. C. It is not appropriate to interpret b 0b0, because its value is the predicted overhead costs for 0 billable hours, but someone with 0 billable hours would not actually be a client of the firm. D. For each increase of 1 unit in billable hours, the predicted overhead costs are estimated to increase by b 0b0. E. The value of b 0b0 is the predicted billable hours for an overhead cost of 0 dollars. F. For each increase of 1 unit in…Collect sufficient data about any two quantitative variables (logically correlated) using reasonable sets of values (At least 15 values). Use Microsoft Excel and answer the following: Firstly: Determine the independent variable and the dependent variable. Secondly: Make the correlation analysis for the quantitative variables and determine the correlation coefficient, and interpret it. Thirdly: Do the regression analysis and answer the following questions: 1. What is the type of regression in your example? 2. Find the sample size. 3. Find the degrees of freedom. 4. Is your model valid? Why? 5. Find the value of the coefficient of determination, and interpret it. 6. Is the independent variable having a significant effect on the dependent variable? Why? 7. Write down the regression line equation. 8. Estimate the value of ŷ if the value of X is 20.what do the standardized regression weights or coefficients tell you about the ability of the predictors to predict the dependent variable?
- Refer to the research analysis output below. Which is NOT a reasonable interpretation of this output? 1. The median Growth from treatment to treatment for this research is significantly different. 2. This is a non-parametric research analysis 3. The original data are most likely non-normal 4. There are most likely outliers in the data 5. The research analysis conducted is the Kruskal -Wallis testDevelop a spreadsheet for the question. The vice president of finance has looked at your ooriginal scoring model and feels that tax considerations should be included in teh model with a weight of 15. In addition, the VP has scored the methods on tax considerations as follows: method A recieved a score of 3, method B recieved a score of 2, and Method C recieved a score of 1. How would this additional information affect your recommendation?a. Find the equation of the least-squares line for the data. Rounds constants to the nearest thousandth. b. Use the equation from part a to predict the retail price of a 2010 Corvette with an odometer reading of 30,000. c. Find the linear correlation coefficient of these data.