A survey of recent e-commerce start-up firms was undertaken at an industry convention. Representatives of the firm were asked for the geographic location of the firm as well as the firm's outlook for growth in the coming year. The results are provided below. Expected Growth Low Medium High Total Northeast 57 36 105 South 42 18 24 84 Region Midwest 36 15 75 West 12 15 9 Total 147 93 60
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- The table below contains real data for the first two decades of AIDS reporting. Year # AIDS cases diagnosed # AIDS deaths Pre-1981 91 29 1981 319 121 1982 1,170 453 1983 3,076 1,482 1984 6,240 3,466 1985 11,776 6,878 1986 19,032 11,987 1987 28,564 16,162 1988 35,447 20,868 1989 42,674 27,591 1990 48,634 31,335 1991 59,660 36,560 1992 78,530 41,055 1993 78,834 44,730 1994 71,874 49,095 1995 68,505 49,456 1996 59,347 38,510 1997 47,149 20,736 1998 38,393 19,005 1999 25,174 18,454 2000 25,522 17,347 2001 25,643 17,402 2002 26,464 16,371 Total 802,118 489,093 Graph "year" versus "# AIDS cases diagnosed" (plot the scatter plot). Do not include pre-1981 data. Perform linear regression. Write the equations. (Round your answers to the nearest whole number. Round r to four decimal places.) (a) Linear Equation: 9 - (b) a = (c) b= (d) (e) n-The Bureau of Labor Statistics provides the annual average unemployment rate (civilian workforce 16 years and older) in the United States. This information is given in the following table. Year Unemployment Rate 2006 4.6% 2007 4.6% 2008 5.8% 2009 9.3% 2010 9.6% 2011 8.9% (a) Which of the following explanations is the BEST reason for NOT using a pie chart to represent this data? (Choose only one.) Bar charts are always better representations of data. There are too many years for a pie chart to useful. The numbers do not add to 100%. Each of the percentages comes from a different base. That is, each of the percentages are not part of the same whole. (b) Think about the similarities and differences of pie charts, bar graphs, and histograms. Select ALL of the following statements that are TRUE. Pie charts and bar graphs are used to compare variables while histograms are used to examine the distribution of data. Pie charts, bar graphs, and histograms can…In the digital age of marketing, special care must be taken to make sure that programmatic ads appearing on websites align with a company's strategy, culture and ethics. For example, in 2017, Nordstrom, Amazon and Whole Foods each faced boycotts from social media users when automated ads for these companies showed up on the Breitbart website (ChiefMarketer.com). It is important for marketing professionals to understand a company's values and culture. The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals specializing in marketing (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 4 6 7 3 6 6 3 5 6 4 5 5 5 5 6 5 6 6 Find the value of the test statistic. Find the p-value. (Round your answer to three decimal places.) p-value = (b) At the ? = 0.05 level of significance, we can conclude that there are differences in the perceptions for marketing…
- A regional planner employed by a public university is studying the demographics of nine counties in the eastern region of an Atlantic seaboard state. She has gathered the following data: County Median Income Median Age Coastal A $ 48,725 55.3 1 B 48,383 53.7 1 C 46,862 46.5 1 D 48,777 57.9 0 E 36,339 43.4 0 F 37,618 40.3 0 G 37,495 37.2 0 H 38,301 31.2 1 I 37,705 32.5 1 a. Is there a linear relationship between the median income and median age? (Round your answer to 3 decimal places.) b. Which variable is the "dependent" variable? multiple choice 1 Median Age Median Income c-1. Use regression analysis to determine the relationship between median income and median age. (Round your answers to 2 decimal places.) c-2. Interpret the value of the slope in a simple regression equation. (Round your answer to 2 decimal places.) d. Include the aspect that the county is "coastal" or not in a multiple…A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area. Historically, 15% of purchases were for condominiums, 30% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land. With changing demographics, the agency wondered if the current distribution matches the historical distribution. Recent data showed the following: Type of Property Condos Townhouses Homes Commercial Land Frequency 89 121 78 25 12 Based on the historical distribution, we would expect how many homes to be purchased? Question content area bottom Part 1 A. 130 B. 121 C. 129.95 D. 122.54 E. 100mpute Marshall – Edgeworth price index number for the following data by taking 2016 as base year. Items sold out in a men's wear 2017. 2016 GRSH Prices Quantity Quantity Prices Shirts 900 175 700 150 Pants 1200 150 1000 100 Sandals 600 100 500 70 Shoes 1800 60 1500 50 150 Belts Watches 400 100 600 250 300 1500 1200
- fill blanks underlines.Identify the type of observational study (cross-sectional, retrospective, or prospective) described below. A research company uses a device to record the viewing habits of about 10,000 households, and the data collected over the next 10 years will be used to determine whether the proportion of households tuned to a particular children's program decreases. Which type of observational study is described in the problem statement? O A prospective study O A retrospective study A cross-sectional study F4 F5 F6 F7 F8 F9 DELL F10 (... F11 -O F12 O PrtScr Insert Delete PgUp 。 Next PgDn HoThe following sales forecast was generated in Excel. What is line C? Sales Revenue $250,000 $200,000 $150,000 $100,000 $50,000 $0 1 wwwww 3 5 Multiple Choice 7 Sales Revenue пик -Forecast( Sales Revenue) Most likely predicted level of sales revenue 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Highest predicted level of sales revenue Actual sales revenue Lowest predicted level of sales revenue A B C
- A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…Please help!