Homework Answers
Multiple discriminant analysis
Altman’s Z-score model is considered as the effective method for predicting distress or bankruptcy of the organization by using the multiple balance sheet values and corporate income.
Thus, 'multiple discriminant analysis' is the correct
answer.
Add Answer to:
QUESTION 31 Edward Altman developed a bankruptcy prediction model based on which of the following methodologies?...
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on...
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment. Note: R² is the square of the correlation coefficient between the data and the model. B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relatio...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the city were reassessed at full value one year prior to the study. The results are in House 1. (Hint: First, determine which are the independent and...
Question 19 3 pts The ordinary least squares estimator of a slope coefficient is unbiased means...
Question 19 3 pts The ordinary least squares estimator of a slope coefficient is unbiased means if repeated samples of the same size are taken, on average the OLS estimates will be equal to the true slope parameter O the mean of the sampling distribution of the slope coefficient is zero. O the estimated slope coefficient will always be equal to the true parameter value. the estimated slope coefficient will get closer to the true parameter value as the size...
2004 Zone A Section B Question 4) The following model for the demand for food was...
2004 Zone A Section B Question 4) The following model for the demand for food was estimated by ordinary least squares on aggregate UK data for 1971 to 1998. The dependent variable (food,) is the log of the total food expenditure at constant prices. = 6.792 + 0.30y, food, (0.318) (0.025) 0.112p, + û, (0.069) R T-28, = 0.967, standard errors given in brackets, where T is the sample size, y, is the log of disposable income at constant prices...
Question 10 3 pts Which of the following would result in the widest (largest) confidence interval?...
Question 10 3 pts Which of the following would result in the widest (largest) confidence interval? o large sample size and 99-percent confidence o large sample size and 95-percent confidence o small sample size and 99-percent confidence small sample size and 95-percent confidence. Question 11 3 pts If the Durbin-Watson statistic is less than 1, then spurious regression is likely an issue. o positive serial correlation is likely an issue. o non-stationarity is likely an issue. o negative serial correlation...
Researchers developed a safety performance function (SPF), which estimates the probability of occurrence of a crash...
Researchers developed a safety performance function (SPF), which estimates the probability of occurrence of a crash for a given segment of roadway. Using data on over 100 segments of roadway, they fit the model E(y) =β0+β1x1+β2x2, where y =number of crashes per three years, x1=roadway length (miles), and x 2 equalsx2=average annual daily traffic (number of vehicles)equals=AADT. Interstate Highways Variable Parameter Estimate Standard Error t-value Intercept 1.81956 0.55151 3.21 Length (X1) 0.19447 0.03716 3.06 AADT (X2) 0.00013 0.00002 5.63 Non-Interstate...
Please answer the following questions, thannks plzz Question 11 3 pts If the Durbin-Watson statistic is...
Please answer the following questions, thannks plzz
Question 11 3 pts If the Durbin-Watson statistic is less than 1, then o negative serial correlation is likely an issue. spurious regression is likely an issue. O positive serial correlation is likely an issue. O non-stationarity is likely an issue. Question 12 3 pts Consider the estimated multiple regression model using OLS, with the standard errors in parentheses below each estimated coefficient. There are 1,576 observations in the sample: Y; = 10...
i need help with question 15.1 (all the questions) a-g 15.1 The results of a multiple...
i need help with question 15.1 (all the questions) a-g
15.1 The results of a multiple regression based on nine observations are shown in Table 15.11. Based on these results answer the following questions: a. What percentage of variance is explained by the regression? TABLE 15.11 Results of a Multiple Regression Analysis Shi 1.3 2.7 0.5 5.0 3.6 1.8 0.6 8.3 Intercept 75.3 Coefficient of multiple correlation 0.95 Standard deviation of errors 12.0 F-value 14.1 b. Is the regression significant...
Question 8 Which of the following is not a valid type of policy organization or model...
Question 8 Which of the following is not a valid type of policy organization or model for a persuasive speech or message: Problem Solution O Problem Cause-Solution O Monroe's Motivated Sequence Fundamental Correlation Model Question 9 A call to action would generally be located in this part of the persuasive Speech structures Attention Grabber Near the end of the last point or in the conclusion in the intro The call to action is not important Question 10 Fallacies are: Errors...
please help! Following is a simple linear regression model: y = a + A + &...
please help!
Following is a simple linear regression model: y = a + A + & The following results were obtained from some statistical software. R2 = 0.523 Syx (regression standard error) = 3.028 n (total observations) = 41 Significance level = 0.05 = 5% Variable Interecpt Slope of X Parameter Estimate 0.519 -0.707 Std. Err. of Parameter Est 0.132 0.239 Note: For all the calculated numbers, keep three decimals. Write the fitted model (5 points) 2. Make a prediction...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the city were reassessed at full value one year prior to the study. The results are in House 1. (Hint: First, determine which are the independent and...
Question 19 3 pts The ordinary least squares estimator of a slope coefficient is unbiased means if repeated samples of the same size are taken, on average the OLS estimates will be equal to the true slope parameter O the mean of the sampling distribution of the slope coefficient is zero. O the estimated slope coefficient will always be equal to the true parameter value. the estimated slope coefficient will get closer to the true parameter value as the size...
2004 Zone A Section B Question 4) The following model for the demand for food was estimated by ordinary least squares on aggregate UK data for 1971 to 1998. The dependent variable (food,) is the log of the total food expenditure at constant prices. = 6.792 + 0.30y, food, (0.318) (0.025) 0.112p, + û, (0.069) R T-28, = 0.967, standard errors given in brackets, where T is the sample size, y, is the log of disposable income at constant prices...
Question 10 3 pts Which of the following would result in the widest (largest) confidence interval? o large sample size and 99-percent confidence o large sample size and 95-percent confidence o small sample size and 99-percent confidence small sample size and 95-percent confidence. Question 11 3 pts If the Durbin-Watson statistic is less than 1, then spurious regression is likely an issue. o positive serial correlation is likely an issue. o non-stationarity is likely an issue. o negative serial correlation...
Please answer the following questions, thannks plzz
Question 11 3 pts If the Durbin-Watson statistic is less than 1, then o negative serial correlation is likely an issue. spurious regression is likely an issue. O positive serial correlation is likely an issue. O non-stationarity is likely an issue. Question 12 3 pts Consider the estimated multiple regression model using OLS, with the standard errors in parentheses below each estimated coefficient. There are 1,576 observations in the sample: Y; = 10...
i need help with question 15.1 (all the questions) a-g
15.1 The results of a multiple regression based on nine observations are shown in Table 15.11. Based on these results answer the following questions: a. What percentage of variance is explained by the regression? TABLE 15.11 Results of a Multiple Regression Analysis Shi 1.3 2.7 0.5 5.0 3.6 1.8 0.6 8.3 Intercept 75.3 Coefficient of multiple correlation 0.95 Standard deviation of errors 12.0 F-value 14.1 b. Is the regression significant...
Question 8 Which of the following is not a valid type of policy organization or model for a persuasive speech or message: Problem Solution O Problem Cause-Solution O Monroe's Motivated Sequence Fundamental Correlation Model Question 9 A call to action would generally be located in this part of the persuasive Speech structures Attention Grabber Near the end of the last point or in the conclusion in the intro The call to action is not important Question 10 Fallacies are: Errors...
please help!
Following is a simple linear regression model: y = a + A + & The following results were obtained from some statistical software. R2 = 0.523 Syx (regression standard error) = 3.028 n (total observations) = 41 Significance level = 0.05 = 5% Variable Interecpt Slope of X Parameter Estimate 0.519 -0.707 Std. Err. of Parameter Est 0.132 0.239 Note: For all the calculated numbers, keep three decimals. Write the fitted model (5 points) 2. Make a prediction...
Most questions answered within 3 hours.
-
The free energy change for the following reaction at 25 °C, when
[Sn2+] = 1.17 M...
asked 47 minutes ago -
An MNE is this kind of industry when competition in one country
is essentially independent of...
asked 2 hours ago -
. For this set of questions, determine what
proportion of a normal distribution is located betweeneach...
asked 2 hours ago -
A college student is employed as a door-to-door newspaper
salesman. Historical data suggests that the student...
asked 3 hours ago -
MATLAB HW 11 problem using Switch Case and Input commands
Write a script file that calculates...
asked 3 hours ago -
Considering gravitational time dilation, calculate the time that
passes in Earth’s surface while 1 hour passes...
asked 4 hours ago -
Minitab Problem: Take the Lake Hume June rainfall data and find
use the processes outlined in...
asked 5 hours ago -
X Company is trying to decide whether to continue using old
equipment to make Product A...
asked 5 hours ago -
IN PYTHON ONLY !! Program 2: Re-work
program #5 (WeeklyHours) from the previous assignment such that...
asked 5 hours ago -
The average length of time between arrivals at a turnpike
toll-booth is 26 seconds. What is...
asked 7 hours ago -
(a) A piston at 6.1 atm contains a gas that occupies a volume of
3.5 L....
asked 8 hours ago -
Please answer true or false. Words
cannot be changed or added in to make it true...
asked 8 hours ago