Based on the above regression results does jailing more criminals ((INPRISON06) reduce violent crime rates? Please explain. based on the above regression results if a greater proportion of the adult population is in prison (PCTINCAR06) will that lead to a drop in violent crimes per 100,000 residents? Please explain. Based on the above regression results will hiring additional police reduce violent crime rates? Please explain.
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- Based on the above regression results does jailing more criminals ((INPRISON06) reduce violent crime rates? Please explain.
- based on the above regression results if a greater proportion of the adult population is in prison (PCTINCAR06) will that lead to a drop in violent crimes per 100,000 residents? Please explain.
- Based on the above regression results will hiring additional police reduce violent crime rates? Please explain.
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- Food deserts have become a particularly hot topic in the public health community as an explanation for a variety of negative health outcomes in disadvantaged areas. A researcher is interested in comparing the average shelf space provided by supermarkets, convenience stores, and corner stores in two different communities in order to address the growing concern for food deserts. Assume the following table reports the summary statistics for shelf space dedicated to fresh fruits and vegetables (meters) from SRSs of a variety of different stores that supply groceries from each community. Community Average shelf space for fresh fruits and vegetables (m) Sample standard deviation Sample size "Food desert" 13.7 2.4 12 Other community 89.4 14.6 14 A) Carry out the appropriate statistical test in order to determine if there is a significantdifference in mean shelf space between the two communities at the alpha level of 0.05. Assumeall conditions for the test are met. Do not assume…Reliability Engineering exerciseMedian House Value ($) Walkability (1 is good, 2 is fair, and 3 is bad) 509,300 1 251,800 2 220,100 3 242,600 2 417,400 1 356,900 2 191,700 3 281,300 2 145,200 3 161,800 3 170,000 3 167,900 3 425,100 1 179,100 3 785,100 1 310,300 2 152,600 3 362,100 1 439,000 1 344,800 2 532,300 1 345,900 2 236,400 2…
- Chest Injury Rating Car Driver Passenger Car Driver Passenger 1 42 35 10 36 37 2 42 35 11 36 37 3 34 45 12 43 58 4 34 45 13 40 42 5 45 45 14 43 58 6 40 42 15 37 41 7 42 46 16 37 41 8 43 58 17 44 57 9 45 43 18 42 42 Generate test results (α = .01) using data analysis (EXCEL).What is statistical quality control? A. A colllection of methods for improving morale in the workplace B. A collection methods of monitoring statstication C. A collection methods for measuring and monitoring quality D. A collection of methods for ensuring statistics are a suitiable qualityOsteoporosis is a degenerative disease that primarily affects women over the age of 60. A research analyst wants to forecast sales of StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = β0 + β1Population + β2Income + ε, where Sales refers to the sales of StrongBones (in $1,000,000s), Population is the number of women over the age of 60 (in millions), and Income is the average income of women over the age of 60 (in $1,000s). She collects data on 38 cities across the United States and obtains the following regression results: Coefficients StandardError t Stat p-Value Intercept 10.35 4.02 2.57 0.0199 Population 8.47 2.71 3.12 0.0062 Income 7.62 6.63 1.15 0.2661 a. What is the sample regression equation? (Enter your answers in millions rounded to 2 decimal places.) b-1. Interpret the coefficient of population. multiple choice 1 As the number of women over the age of 60 increases by 1 million, sales of StrongBones…
- 2. In the article “Case Adaptation Method of CaseBased Reasoning for Construction Cost Estimation in Korea” (J. Constr. Engr. Mgmt., 2012: 43–52) provided data on military barrack projects undertaken by the Korean Ministry of National Defense from 2004 to 2008. Two variables of interest were the floor area of a barrack and the corresponding cost (in $US). The corresponding data is given in the attached image: a. Construct stem and leaf displays of both floor area and cost. Explain it.b. Do the values of cost appear to be perfectly linearly related to the floor area values? c. Construct a scatterplot of the data. Does it appear that cost could be accurately predicted by the value of floor area? Explain reasoning.Size of a firm matters for implementation of supply chain management practices. It implies that larger firms very frequently implement supply chain and use advanced technologies to integrate supply chain partners. A study has reported part of the relationship between types of firm (Private and Public) and supply chain management implementation and between size of a firm (small to large, in terms of number of employees) and supply chain management implementation in International Journal of Business Modelling and Supply Chain Management (Vol. 5, 2013). The following table shows number of different sized private and public firms participated in this study Private Public Total ≤ 24 employees 20 1 21 25-49 17 1 18 50-99 14 1 15 100-199 9 0 9 ≥ 200 employees 23 9 32 Total 83 12 95 Two following events are defined: A: {A firm participated in this study is Private} B: {A firm participated in this study has employees more than 49} Find a. P(A) and P(B) b. P(AUB) c. P(A∩B)Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 194 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. A multiple linear regression model resulted in an SSR of 5.25 and an SSE of 125.02. Calculate the test statistic. FSTAT=____________ (Round to two decimal places as needed.)
- Profitability remains a challenge for banks and thrifts with less than $2 billion of assets. The business problem facing a bank analyst relates to the factors that affect return on assets (ROA), an indicator of how profitable a company is relative to its total assets. Data collected from a sample of 194 community banks include the ROA (%), the efficiency ratio (%), as a measure of bank productivity (the lower the efficiency ratio, the better), and total risk-based capital (%), as a measure of capital adequacy. A multiple linear regression model resulted in an SSR of 5.25 and an SSE of 125.02. Determine the p-value. The p-value is _____ (Round to three decimal places as needed.)An agronomist undertook an experiment to investigate the factors that potato harvest. In his research, agronomist decided to divide the farm into 30 half hectare plots and apply varies level of fertilizer. Potato was then planted and the harvest at the end of the season was recorded. Fertilizer(Kg) Harvest (tons) 210 43.5 220 40.0 230 48.0 240 65.0 250 80.0 260 85.0 270 95.0 280 80.0 290 97.3 Note: No excel ANOVA output allowed. Students need to show all the steps in calculations. You are required to; Find the simple regression line and interpret the coefficients. Find the coefficient of determination and interpret its value. Does the model appear to be a useful tool in predicting the potato harvest? If so, predict the harvest when 250KG of fertilizer is applied. If not explain why not.apply visual and descriptive analytics to summarize the data for italy. Use this to draw any initial conclusion date total_cases new_cases total_deaths new_deaths 12/31/2019 0 0 0 0 1/1/2020 0 0 0 0 1/2/2020 0 0 0 0 1/3/2020 0 0 0 0 1/4/2020 0 0 0 0 1/5/2020 0 0 0 0 1/6/2020 0 0 0 0 1/7/2020 0 0 0 0 1/8/2020 0 0 0 0 1/9/2020 0 0 0 0 1/10/2020 0 0 0 0 1/11/2020 0 0 0 0 1/12/2020 0 0 0 0 1/13/2020 0 0 0 0 1/14/2020 0 0 0 0 1/15/2020 0 0 0 0 1/16/2020 0 0 0 0 1/17/2020 0 0 0 0 1/18/2020 0 0 0 0 1/19/2020 0 0 0 0 1/20/2020 0 0 0 0 1/21/2020 0 0 0 0 1/22/2020 0 0 0 0 1/23/2020 0 0 0 0 1/24/2020 0 0 0 0 1/25/2020 0 0 0 0 1/26/2020 0 0 0 0 1/27/2020 0 0 0 0 1/28/2020 0 0 0 0 1/29/2020 0 0 0 0 1/30/2020 0 0 0 0 1/31/2020 3 3 0 0 2/1/2020 3 0 0 0 2/2/2020 3 0 0 0 2/3/2020 3 0 0 0 2/4/2020 3 0 0 0 2/5/2020 3 0 0 0 2/6/2020 3 0 0 0 2/7/2020 3 0 0 0 2/8/2020 3 0 0 0 2/9/2020 3 0 0 0 2/10/2020 3 0 0 0 2/11/2020…