1. In the credit card default data, we would like to predict the default status of a cus-tomer based on the monthly balance, the student indicator and the income. The inputcoding for class predictors is set as Deviation. Given the following output from logisticregression, what is the estimated probability of default for a student with a balance of$2500 and an income of $40000?Analysis of Haxinun Likelihood EstinatesStandardValdErrorChi-SquarePr > ChisqParaneterdefaultDFEstinateInterceptYes-11.19240.4506616.84<.0001balanceYes0.005740.000232611.89<.0001inconeYes3.033E-68.203E-60.140.7115studentNoYes0.32340.11817.490.0062

Answered: Image /qna-images/answer/ec15a3ef-647c-4058-84b7-d052d51b3710.jpg

Answered: |1. In the credit card default data, we…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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a. In the Petroco Service Station problem, compute an exponentially smoothed forecast with an α value of .30. According to the result from Excel and/or POM-QM, the forecast for the month of August b.In the Petroco Service Station problem, for the exponentially smoothed forecast with an α value of .30, compute the mean absolute deviation (MAD) via Excel and/or POM-QM c. In the Petroco Service Station problem, compute an exponentially smoothed forecast with an α value of .50. According to the result from Excel and/or POM-QM, the forecast for the month of January would be d.In the Petroco Service Station problem, compute an exponentially smoothed forecast with an α value of .50. According to the result from Excel and/or POM-QM, the forecast for the month of August
. you are interested in whether excess risk-adjusted return (alpha) is correlated with mutual fund expense ratios for uS large-cap growth funds. The following table presents the sample. Mutual Fund. 1 2 3 4 5 6 7 8 9 -0.52 -0.13 -0.6 -1.01 -0.26 -0.89 -0.42 -0.23 -0.6 Alpha(X) Expense Ratio 1.34 0.92 1.02 1.45 1.35 0.5 1 1.5 1.45 Formulate null and alternative hypotheses consistent with the verbal description of the research goal. identify the test statistic for conducting a test of the hypotheses in Part a. Justify your selection in Part b. D. Determine whether or not to reject the null hypothesis at the 0.05 level of signifi- cance.
Consider the following information: Net working capital/total assets = 0.9 Retained earnings/total earnings = 0.15 EBIT/total assets = 1.1 MV of equity/BV of total liabilities = 2 Sales/total assets = 2.5 Required: Compute the Z-score. Based on the calculation, explain whether there is a likelihood of financial distress?
The dataset in the below table represents the 3-month profits (in million $) of real estate companythat operates over the period of time between 2014-2018. I II III 2014 15.6 20.4 29.4 2015 13.8 23.2 35 2016 17.8 19.4 30.6 2017 21.4 24.8 33.6 2018 18.4 27.2 34.2 Predict the expected value of company’s profit in summer 2019 which includes the effects of allthe components of time series. And comment on the results.
Recent publications have addressed the growing concern in the scientific community around the increased prevalence of CAT scans in children between the ages of 7-18 and the growing rate of childhood cancers. Suppose the researcher plans to gather a SRS from a group of children in this age range who have received one or more CAT scans, and a SRS from a group of children who have never received a CAT scan and compare the number of cases of childhood cancers that develop over a prolonged period of time. Assume the following table summarizes the descriptive statistics for his samples. Population Average cases of childhood cancers Standard deviaton Sample size >CAT scan 24.6 2.4 1,894 No CAT scans 11.4 1.9 2,745 A) Carry out the appropriate statistical test to answer the researcher’s hypothesis regarding the difference in average cases of childhood cancers in children aged 7-18 receiving one or more CAT scans versus those that have never received a CAT scan. Use an alpha level…
What is the definition of a covariance stationary process? Why is stationaritysuch as important issue in forecasting and time-series?
To combat antibiatic resistance, the Quality Consortium recommends a throat swab to confirm strep throat before a physician prescribes antibiotics to children under age 5. Nationally, 40 percent of children under 5 who received antibiotics did not have a throat swab. The Colorado Department of health took a random sample of 88children under the age of 5who received antibiotics for throat infections and found that 30 did not have a throat swab. At a=.05, is this a statistically significant reduction over last years national rate of 40 percent?
To combat antibiatic resistance, the Quality Consortium recommends a throat swab to confirm strep throat before a physician prescribes antibiotics to children under age 5. Nationally, 40 percent of children under 5 who received antibiotics did not have a throat swab. The Colorado Department of health took a random sample of 88children under the age of 5who received antibiotics for throat infections and found that 30 did not have a throat swab. At a=.05, is this a statistically significant reduction over last years national rate of 40 percent?What is the test statistic?
In this question we look at the relation between the logarithm of weakly earnings and years of education. Using data from the national longitudinal study of youth, we find the following results for a regression of log weekly earnings and years of education, experience, experience squared and an intercept: Log (earnings) = 4.016 + 0.092 . educi + 0.079 .expei + 0.002 . experi 2 ( 0.222) ( 0.008) ( 0.025) (0.001) a).Construct a 95% confidence interval for the effect of years of education on log weakly earnings b).Consider an individual with 10 year of experience. What would you expect to be the return to an additional year of experience for such an individual (the effect on log weakly earnings)?
Is Advertising negatively related with sales? Are both Unemployment and Advertising statistically significant in this model?
which of the following individuals is likely to be excluded from a clinical trial? a-individual with other diseases besides the disease of interest b-an individual whose data is considered to be an outlier c-an individual of who is considered to be a minority d-an individual who will have difficulty complying trial protocols.
The recent economic downturn resulted in the loss of jobs and an increase in delinquentloans for housing. In projecting where the real estate market was headed in the comingyear, economists studied the relationship between the jobless rate and the percentage ofdelinquent loans. The expectation was that if the jobless rate continued to increase, therewould also be an increase in the percentage of delinquent loans. The following data showthe jobless rate and the delinquent loan percentage for 27 major real estate markets. a. Compute the correlation coefficient. Is there a positive correlation between the joblessrate and the percentage of delinquent housing loans? What is your interpretation?b. Show a scatter diagram of the relationship between the jobless rate and the percentage

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