Paraphrase this one. Analyze and elaborate in 85 words. Regression analysis data also helps you understand whether the relationship between two different variables can give way to potential business opportunities.
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Paraphrase this one. Analyze and elaborate in 85 words. Regression analysis data also helps you understand whether the relationship between two different variables can give way to potential business opportunities.
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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?
- Business analytics concepts a) Data used in business analytics need to be reliable and valid. Explain your opinion on the statement and provide practical examples to support your answer. b) What are the similarities and differences between correlation analysis and regression analysis? c) What types of measurements can be used to measure the central tendency of the data? Please compare the advantages and disadvantages between these measurements.. What are the advantages and disadvantages of Regression Model, Econometric Model, Driving Indicator Models?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 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?How does the accuracy of prediction markets compare to public opinion polls? Prediction markets' accuracy varies widely, They both are equally accurate. Prediction markets provide less accurate forecasts Prediction markets provide more accurate forecasts.Null & Research Hypothesis Write both the null and research hypothesis for the variables below. Determine whether a nondirectional or directional hypothesis should be utilized when writing the research hypothesis. Hours of studying and academic achievement Suspension rates and criminal justice outcomes Hours of sleep and productivity Socioeconomic status and type of employment Effectiveness of incarceration and effectiveness of rehabilitation Substance exposure and asthma (speak on the relationship. i.e. does substance exposure have an effect on asthma?) Pharmaceutical medications and placebos Gender and juvenile delinquency Education level and income Class attendance and performance
- Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation 1 2 3 4 5 6 7 y= X y 15 70 28 79 38 89 35 86 49 97 42 97 30 82 y = Observation 0.721 + 1890123 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) X 14 16 14 24 21 29 63.229 X y 82 70 68 84 83 91 b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)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 testResearch Problem/Question/Hypothesis Research Problem/Question/Hypothesis Write a clear Purpose/Aim and Objectives of the Study. Clearly state the Significance of the Study. Discuss the above on the following topic: The factors effecting students adoption of Eco-friendly Fuel Alternatives. Write a clear Statement of the Problem. Discuss the above on the following topic: The factors effecting students adoption of Eco-friendly Fuel Alternatives.