identify the independent variable, the dependant variable and the unit of analysis of the following statement Kentor, J. (2001). The long-term effects of globalization on income inequality, population growth, and economic development. Social Problems, 48, 4, 453-455.
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identify the independent variable, the dependant variable and the unit of analysis of the following statement
Kentor, J. (2001). The long-term effects of globalization on income inequality, population growth, and economic development. Social Problems, 48, 4, 453-455.
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- Q A business researcher is investigating the relationship between certain personality characteristics of s business owners and the businesses' growth potential over the next five years. The researcher randon selects 15 small business owners, administers the "Speed and Impatience" (X) and "Job Involvement subscales of the Jenkins Activity Survey, and then determines the "Growth Potential (Z) for the businesses. The resulting data are as follows. Speed and Impatience Job Involvement Growth Potential Y Z 4 3 5 7 4 6 9 10 8 9 8 10 7 7 8 3 3 7 4 4 3 2 2 3 5 7 4 4 4 1 1 2 6 Without using SPSS, compute the following descriptive items. 1) The mean of the variable Speed and Impatience 2) The median of the variable growth potential 3) The quartiles Q1, Q2, Q3 and the IQR of the variable Speed and Impatienced. From the estimated coefficient of the variable edu, how do you conclude about the impact of spending on labor training on the performance of the enterprise?e. From the estimated coefficient of the variable RD, how do you conclude about the impact of spending on R&D on the performance of the business?f. Can it be concluded that enterprise size has a positive effect on firm performance? Why? Please help me with these questions and provide detail answer. i would need your answers to review for exam. Thank you in advanced!!5. Management of a home appliance store wants tounderstand the growth pattern of the monthly sales of a new technology device over the past two years.The managers have recorded the relevant data inthe file P13_05.xlsx. Have the sales of this devicebeen growing linearly over the past 24 months? Byexamining the results of a linear trend line, explainwhy or why not.
- Poverty and Dietary Calcium. Calcium is the most abundant mineral in the human body and has several important functions. Recommendations for calcium are provided in Dietary Reference Intakes, developed by the Institute of Medicine of the National Academy of Sciences. The recommended adequate intake (RAI) of calcium for adults (ages 19–50) is 1000 milligrams (mg) per day. If adults with incomes below the poverty level have a mean calcium intake equal to the RAI, what percentage of all samples of 18 such adults have mean calcium intakes of at most 947.4 mg? Assume that σ = 188 mg. State any assumptions that you are making in solving this problem.The index of leading economic indicators, compiled and published by the U.S. National Bureau of Economic Research, is composed of 12 time series, such as the average work hours of production in manufacturing, manufacturers’ new orders, and money supply. This index and similar indexes are designed to move up or down before the economy begins to move the same way. Thus, an economist has statistical evidence to forecast future trends.You want to construct a leading indicator for Erie County in upstate New York. The index is to be based on 2000 data. Because of the time and work involved, you decide to use only four time series. As an experiment, you select these four series: unemployment in the county, a composite index of county stock prices, the County Price Index, and retail sales. Here are the figures for 2000 and 2018. The weights you assign are unemployment rate 20%, stock prices 40%, County Price Index 25%, and retail sales 15%. (Round your answers to 1 decimal place.) a. Using…Match the description on the right with the correct term on the left regarding types of forecasting methods. 1. Econometric, input-output, and simulation are techniques used with this type of forecasting method, which assumes that the variable to be forecasted is related to one or more intrinsic variables. Causal Methods 2. The Delphi technique, market surveys, and life-cycles analogy are techniques used with this type of forecasting method, which relies on the judgment of individuals or Qualitative Methods Time-Series Methods groups. 3. Moving averages and exponential smoothing are techniques used with this type of forecasting method, which assumes that time is the only important variable.
- Insurance (Life Expectancy). Insurance companies base their premiums on many factors, but basically all the factors are variables that predict life expectancy. Life expectancy varies from place to place. The following variables are from a data set on various measures obtained from the 50 US states (around 2009) Murder: rate per 100,000 HS Graduation: recorded as a percentage Income: per capita income in dollars Illiteracy: rate per 1,000 Life Expectancy: recorded in years 2008 Electoral vote state color: red / blue State electoral vote color coded: red = 1 / blue = 0 Multiple linear regression results: See Attachments please Write the multiple linear regression equation, use this equation to predict the Life expectancy for Pennsylvania and calculate the residual. Data: State Name Life Expectancy Murder HS Grad Income Illiteracy ColorCode Color Alabama 69.05 15.1 41.3 3624 2.1 1 red Alaska 69.31 11.3 66.7 6315 1.5 1 red Arizona 70.55 7.8 58.1 4530 1.8 1 red Arkansas…What are the key concerns of the local government? What is the quantitative method applied here, and what are the variable/s used in the model? Looking at the unique aspects of the situation, what other forecasting method will you use here? Review the quantitative methods 1-5. Review the advantages and disadvantages of these quantitative methods.7. Predicting Atlanta Commute TimeThe data in CommuteAtlanta show information on both the commute distance (in miles) and time (in minutes) for a sample of 500 Atlanta commuters. Suppose that we want to build a model for predicting the commute time based on the distance. Distance Time 10 15 45 60 12 45 4 10 15 30 33 60 15 45 4 10 25 25 1 15 22 45 50 50 10 15 30 30 10 30 12 20 2 5 25 45 7 20 8 20 10 20 30 40 23 30 20 40 7 25 3 8 5 15 6 20 45 45 35 35 25 40 15 20 17 20 50 50 10 10 30 45 10 10 20 20 5 5 4 7 21 40 12 30 5 10 32 32 10 40 12 20 35 45 31 70 3 10 22 45 20 30 30 30 20 30 50 50 7 7 8 20 11 30 25 60 15 27 1 1 10 13 25 35 15 15 10 30 24 25 10 20 2 10 5 15 32 32 10 10 12 20 18 20 7 15 30 35 30 30 2 28 3 6 3 15 0 5 20 30 23 35 50 60 20 30 25 50 3 5 10 10 20 30 16 35 1 3 20 25 25 30 20 45 101 180…
- A group of researchers carried out a survey of household expenditure for an average family and the data are shown in Table 3. Table 3 Commodity 2016 2017 Quantity 105 Price Quantity 100 Price Rice (kg) Bread (loaf) Cocoa powder (kg) Milk (liter) Sugar (kg) 7.30 8.60 3.02 16 3.10 18 10.26 25 7.83 33 6.10 56 6.55 78 2.85 11 2.95 15 (i) Compute the Average Price Relative (APR) index for 2016 and 2017, using 2016 as the base year. (ii) Calculate Paasche Price Index for 2017 (year 2016 = 100). Interpret the answer. (iii) Calculate Laspeyres Price Index for 2017 (year 2016 = 100). Interpret the answer. (iv) Calculate the Fisher's Price index.a. construct an econometric model that exhibits positive correlation between stock prices up to order 3 .the model should also exhibit the clustering of volatility. The model should also show the incorporation of information from infinite order of lag error terms? what is the name of this model?or each predictor variable, state the P-value and determine whether the predictor variable is significant in explaining delivery charges. Predictor variables P-value Significant in explain Delivery charges Distance .................. .............. Weight .................. .............. Boxes ............... .................
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