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- Do the sales prices of houses in a given community vary systematically with their sizes (as measured in square feet)? Answer this question by estimating a simple regression equation where the sales price of the house is the dependent variable, and the size of the house is the explanatory variable. Use the sample data given in P13_06.xlsx. Interpret your estimated equation, the associated R-square value, and the associated standard error of estimate.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?The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars) through credit unions. a. Use these data to forecast consumer revolving credit through credit unions for the next 12 months. Do it in two ways. First, fit an exponential trend to the series. Second, use Holts method with optimized smoothing constants. b. Which of these two methods appears to provide the best forecasts? Answer by comparing their MAPE values.
- 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 testWhich best describes the null hypothesis associated with an Analysis of Variance (ANOVA)? Group of answer choices a. Ho: Variance 1 = Variance 2 = Variance 3 b. Ho: Standard Deviation 1 = Standard Deviation 2 = Standard Deviation 3 c. Ho: Proportion 1 = Proportion 2 = Proportion 3 d. Ho: Median 1 = Median 2 = Median 3 e. Ho: Mean 1 = Mean 2 = Mean 3Examples of Purposive Sampling1. A diaper company intercepts any shopper buying diapersin a supermarket to determine their preference in buyingdiapers. Are the results of these surveys reliable and unbiased?Can we generalize the results for the entire population? 2. PCSO conducts customer satisfaction surveys andinterviews the people lining up to apply for financialassistance. Are the results of these surveys reliable and unbiased?Can we generalize the results for the entire population?
- Which business research approach analyzes continuous data when the data are non-normal? Group of answer choices a. Binary Logistic Regression b. Non-parametric Tests c. ANOVA d. Regression e. Chi-square Contingency Tables4. You are hired as a marketing consultant by Pepsico to develop a research plan to improve their sales in the non-fuzzy segment. Specify the MDP, MRP, expected variables, research hypothesis, sampling and appropriate test in the research plan.How can startbucks company use multiple regression? Please provide an example and identify dependent and independent variables.
- A study to determine the correlation between bankdeposits and consumer price indices in Birmingham, Alabama,revealed the following (which was based on n = 5 years of da ta):• LX = 15• Lx2 = 55• Lxy = 70• Ly = 20• L/ = 130a) What is the equation of the least-squares regression line?b) Find the coefficient of correlation. What does it imply to you?c) What is the standard error of the estimate?List the specific weaknesses of each of the following approaches to developing a forecast. a. Consumer surveys b. Salesforce composite c. Committee of managers or executivesThe data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best-predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1012 872 895 1078 1235 1172 Temperature (°F) 81.9 76.3 78.4 84 87.2 88.4 What is the regression equation? y= +. x What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best-predicted temperature when a bug is chirping at 3000 chirps per minute is ? What is wrong with this predicted value? Choose the correct answer below. A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The first variable should have been the dependent variable. C. It is only an…