In a scorecard development project, one characteristic – Time at Present Address – usesinformation obtained from the credit reference agency. This is reported in whole years only -months are ignored. Our analysis stage gives the following data:Time at Address% of Goods% of Bads1-2 years13-24 years25+ years3-5 years6-8 years9-12 years3.70%9.70%23.40%17.10%25.70%16.50%9.40%15.10%19.60%23.10%7.20%3.60%<1 year11.00%14.90%While we often use K-S to assess the power of a scorecard, we can also use it as a measure ofthe strength of a characteristic.Calculate the K-S statistic to measure the difference in Good and Bad performance on thischaracteristic.

From the given information, Time at Address % og Goods % of Bads 1-2 years 3.70% 9.70% 13-24…

Answered: In a scorecard development project, one…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Benchmarks. Examine the following tables from the 2009 Financial Trend Monitoring Report for the Town of Oakdale that reports on fiscal year 2008. The performance indicators selected are total revenue and revenue per capita. The town provides three reference groups with which to compare Oakdale: Aaa-rated municipalities, comparison municipalities, and the state median. Since local government budgeting in this state is driven by the property tax levy cap, this is a key variable in comparing municipalities. Aaa-Rated Municipality FY08 Total Revenue FY08 Rev per Cap State Rank Comparison Municipality FY08 Total Revenue FY08 Rev per Cap State Rank Delta $ 49,794,904 $4,342 12 Dover $356,895,723 $3,521 27 Monroe 111,784,312 3,683 21 Oakdale 175,058,152 3,065 45 Schoolcraft 47,219,656 3,605 24 Cook 71,477,390 2,954…
Which of the following belongs to lagging indicators A. Manufacturers' new orders B. Stock prices, 500 common stocks C. Average duration of unemployment D. Industrial production
The following data set is scaled scores from the SAT test in 2018: Student 1: 500 Student 2: 580 Student 3: 450 Student 4: 750 Student 5: 690 Student 6: 800 SAT scores are scaled from 200 to 800 points. How would you best classify this data? a. Cross-sectional Data b. Time Series Data c. Qualitative Data d. Longitudinal Data e. None of these
Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…
Essay 21. a. What types of studics can show causc-and-effect relationships? Explain. b. What must be included in thosc studies from part (a) in order to show cause-and-effect? Explain. c. Some people respond favorably to any treatment given. What can be done to address this problem? Explain.
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
1. Explain the MVA table based image.
The following information was recorded in a toy store: Year 2016 Year 2017 Year 2018 Price Quantity Price Quantity Price Quantity Slime 6. 50 9. 60 10 56 Sticky tact 100 2 105 120 Stinky egg Teddy Bear 4 60 4 50 60 10 30 11 26 12 24 Tortoise 8 40 11 39 12 36 (a) By using the above data, compute the Laspeyres Price Index for year 2018 by using year 2016 as base year. (b) Interpret your answer in part (a)). (c) By using the above data, compute the Paasche Price Index for year 2018 by using year 2016 as base year. (d) Which item has experienced the greatest inflation rate from year 2017 to year 2018? (Just state vour answer, no calculation is needed in part (d)).
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Working with Large Data Sets High School Completion. As reported by the U.S. Census Bureau in Educational Attainment in the United States, the percentage of adults in each state and the District of Columbia who have completed high school is provided on the WeissStats site. Apply the technology of your choice to construct a stem-and-leaf diagram of the percentages with a. one line per stem.b. two lines per stem.c. ve lines per stem.d. Which stem-and-leaf diagram do you consider most useful? Explain your answer.

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