Chapter 12, Problem 12.83CRP

THE FOLLOWING FIGURE IS USED TO ANSWER THE FOLLOWING QUESTION. The percentage of deaths due to pneumonia, Influenza, and COVID-19: Figure 1 NCHS Mortality Reporting System: Pneumonia, Influenza, and COVID-19 Mortality of Deaths Due to Poeumonia, influents, and COVID-19 * * 12 30 40 NCHS Mortality Reporting System: Pneumonia, Influenza, and COVID-19 Mortality Data through the week ending April 11, 2020, as of April 16, 2020 50 Tidenk Threshold Seasonal Baseline 2018 10 20 50 -% of Deaths due to Pneumoni, Influenx or COVID-19 30 MMWK Week was higher than expected for the majority of 2018 and 2019. W in week 10 of 2020 was roughly 3X greater than expected. O on average met the level of epidemic in week 20 of 2019 O is highest mid-year and lowest at the end of each year.

Year 1 3 5 7 10 Population 16,763 17,007 17,226 17,418 17,639 Determine a model for the given data by using quadratic regression. What will be the population in year 12?

Question #34 The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 9% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. Assuming his suspicion that 9% of his customers buy a magazine is correct, what is the probability that exactly 6 out of the first 10 customers buy a magazine? 0.0000367300 0.0000674675 0.0000234680 0.0000814185 0.0000341752 0.0000765314

Problem 3 addressed the cross-sectional variation in the number of financial analysts who follow a company. in that problem, company size and debt-to-equity ratios were the in- dependent variables. you receive a suggestion that membership in the S&P 500 index should be added to the model as a third independent variable; the hypothesis is that there is greater demand for analyst coverage for stocks included in the S&P 500 because of the widespread use of the S&P 500 as a benchmark. a. write a multiple regression equation to test whether analyst following is systematically higher for companies included in the S&P 500 index. also include company size and debt-to-equity ratio in this equation. use the notations below. (analyst following)i = natural log of (1 + number of analysts following company i) Sizei = natural log of the market capitalization of company i in millions of dollars (d/e)i = debt-to-equity ratio for company i S&Pi = inclusion of company i in the S&P…

Case. 15.1. Ski Jacket Production. Egress, Inc., is a small company that designs, produces, and sells ski jackets and other coats. The creative design team has labored for weeks over its new design for the coming winter season. It is now time to decide how many ski jackets to produce in this production run. Because of the lead times involved, no other production runs will be possible during the season. Predicting ski jacket sales months in advance of the selling season can be quite tricky. Egress has been in operation for only three years, and its ski jacket designs were quite successful in two of those years. Based on realized sales from the last three years, current economic conditions, and professional judgment, 12 Egress employees have independently estimated demand for their new design for the upcoming season. Their estimates are listed in Table 15.2 To assist in the decision on the number of units for the production run, management has gathered the data in Table 15.3. Note that S…

Drop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below: Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the availability of drop-off points in the neighborhood has a linear effect on the amount of non-disposed food waste per household. Use α = 0.10.

Drop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below: Number of Amount of non- (x, – x)* (Y, -Y) (x; - x)(Y, – Y) households per drop-off point disposed food waste per household (kg/week) Yi Xi 387.5 4.0 7656.25 0.25 43.75 337.5 3.2 1406.25 0.09 -11.25 187.5 2.5 12656.25 1.00 112.50 412.5 5.0 12656.25 2.25 168.75 175.0 2.8 15625 0.49 87.50 E; = 1500 Σ 17.5 E; = 50000 Σ -4.08 Ej = 401.25 2) Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the…

Please please help answer a-e with explanations.

Suppose a researcher conducted study on the investment and economic growth of Pakistan. He wanted to analyze data of Pakistan since its independence till date (1947 to 2020). But due to the unavailability of data from 1947, researcher only used data from 1990 to 2017. Which of the following part of the research contains this information?           a. Background of the study   b. Scope of the study   c. Limitations of the study   d. Significance of the study