Let us try to find out what is the relationship between the GDP between the gross fixed capital formation(GFCF), trade openness(trade openness), foreign direct investment (FDI).
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Let us try to find out what is the relationship between the GDP between the gross fixed capital formation(GFCF), trade openness(trade openness), foreign direct investment (FDI).
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- The output of a solar panel (photovoltaic) system depends on its size. A manufacturer states that the average daily production of its 1.5 kW system is 6.6 kilowatt hours (kWh) for Perth conditions. A consumer group monitored this 1.5 kW system in 20 different Perth homes and measured the average daily production by the systems in these homes over a one month period during October. The data is provided here. (a) Analyse the consumer group’s data to test if the manufacturer’s claim of an average of 6.6 kWh per day is reasonable. State appropriate hypotheses, assumptions and decision rule at α = 0.10. What conclusions would you report to the consumer group? Hint: You will need to find Descriptive Statistics first.) (b) If 48 homes in the central Australian city of Alice Springs had this system installed and similar data wascollected, in order to assess whether average daily production in Alice Springs exceeded 6.6 kWh, (i) what would the alternate hypothesis be? (ii) What would be the…Overhead Door (OD) Corporation’s founder, C. G. Johnson, invented the upward-lifting garage door in 1921 and the electric garage door opener in 1926. Since then OD has been a leading supplier of commercial, industrial, and residential garage doors sold through a nationwide network of more than 450 authorized distributors. They have built a solid reputation as a premier door supplier, commanding 15 % share of the market. Suppose that customers assess door quality first in terms of the ease of operation, followed by its durability. The quality improvement team (QIT) might then assign an engineering team to determine the factors that contribute to these two main problems. Smooth operation of a garage door is a critical quality characteristic that affects both problems: If a door is too heavy, it’s difficult and unsafe to balance and operate; if it’s too light, it tends to buckle and break down frequently or may not close properly. Suppose the design engineers determine that a standard…Department of Agriculture is concerned about the number of acres of farmland being withdrawn from farming. The department would like to propose new legislation to prevent this but wants to show the legislature what would happen if it does not act. Drew Johnson, the department’s statistician, regresses the number of acres used for farming in the state on time. Johnson finds the following: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .943a .890 .795 3.2875 a. Predictors: (Constant), Number of Years ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 1378.458 1 1378.458 141.149 .000a Residual 478.567 49 9.766 Total 1857.025 50 a. Predictors: (Constant), Number of Years b. Dependent Variable: Acres (in Millions) Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std.…
- Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio AFLAC 6 7251 29454 17.1 2.08 0.9 0.22 11.5 Albertson's 4 14690 5219 21.4 2.08 1.6 0.63 19 Allstate 6 20106 80918 20.1 3.56 1 0.36 10.6 Amerada Hess 7 8340 7935 0.2 0.08 1.1 0.6 698.3 American General 6 3362 80620 7.1 2.19 3 1.4 21.2 American Stores 4 19139 8536 12.2 1.01 1.4 0.34 23.5 Amoco 7 36287 32489 16.7 2.76 3.1 1.4 16.1 Arco Chemical 2 3995 4116 6.2 1.14 6.1 2.8 40.4 Ashland 7 14319 7777 9.5 3.8 2.3 1.1 12.4 Atlantic Richfield 7 19272 25322 21.8 5.41 3.8 2.83 3.8 Bausch & Lomb 5 1916 2773 6 0.89 2.6 1.04 2.6 Baxter International 5 6138 8707 11.5 1.06 2.3 1.13 47.2 Bristol-Myers Squibb 5 16701 14977 44.4 3.14 2 1.52 24.1 Burlington Coat 1 1777 775 12.3 1.18 0.1 0.02 12.9 Central Maine Power 3 954 2299 2.4 0.16 7.8 0.9 79.6 Chevron 7 41950 35473 18.6 4.95 3 2.28 15.2 CIGNA 6 14935 108199 13.7 4.88 2 1.1 11.4…Period People (Y) Ocupation percentage (X) 2009 1T 46,977,904 59.7 2009 2T 47,453,163 59.3 2009 3T 48,738,589 60.2 2009 4T 48,903,792 60.4 2010 1T 48,069,274 59.9 2010 2T 49,133,132 60.2 2010 3T 49,190,032 58.7 2010 4T 48,478,718 58.8 2011 1T 48,505,168 59.3 2011 2T 49,482,112 59.5 2011 3T 50,127,032 59.7 2011 4T 50,772,496 60.5 2012 1T 50,192,842 60.3 2012 2T 51,477,178 60.7 2012 3T 51,927,050 60.7 2012 4T 51,317,999 60 2013 1T 50,847,242 60 2013 2T 51,895,865 60.4 2013 3T 52,034,353 60.2 2013 4T 52,370,886 60.7 2014 1T 51,559,018 60.3 2014 2T 51,836,752 59.8 2014 3T 52,192,043 59.6 2014 4T 52,108,400 59.4 2015 1T 52,007,842 59.7 2015 2T 52,623,721 59.6 2015 3T 53,179,919 59.7 2015 4T 53,809,017 60.3 2016 1T 52,918,649 59.7 2016 2T 53,539,565 59.6 2016 3T 54,226,803 59.9 2016 4T 54,034,800 59.6 2017 1T 53,681,720 59.7 2017 2T 54,068,791 59.3 2017 3T 54,369,915 59.1 2017 4T 54,696,638 59.3 2018 1T 54,590,773…Med-Tech labs is a facility that provides medical tests andevaluations for patients, ranging from analyzing blood samplesto performing magnetic resonance imaging (MRI). Averagecost to patients is $60 per patient. Labor costs average $15 perpatient, materials costs are $20 per patient, and overhead costs areaveraged at $20 per patient.(a) What is the multifactor productivity ratio for Med-Tech?What does your fi nding mean?(b) If the average lab worker spends three hours for eachpatient, what is the labor productivity ratio?
- The output level of a firm is gien by Q = 50√LK Assume that the firm has orders for 1000 units of output. The price of labor is given N$5 per unit and the price of capital is N$20 per unit. Using the Lagrangian, 1 find the cost-minimizing combination of inputs 2 find the value of λ and interprete. 3 Calculate the total cost, Average total costcontinuing from : https://www.bartleby.com/questions-and-answers/the-director-of-a-shipping-company-believes-that-there-is-a-relationship-between-the-cost-of-a-custo/1e628848-c280-4972-a21b-5454693b3fcdFuel economy A consumer organization has reported test data for 50 car models. We will examine the asso-ciation between the weight of the car (in thousands of pounds) and the fuel efficiency (in miles per gallon).Here are the scatterplot, summary statistics, andregression analysis:Variable Count Mean StdDevMPG 50 25.0200 4.83394wt/1000 50 2.88780 0.511656Dependent variable is: MPGR-squared = 75.6%s = 2.413 with 50 - 2 = 48 dfVariable Coefficient SE(Coeff) t-ratio P-valueIntercept 48.7393 1.976 24.7 ...0.0001Weight -8.21362 0.6738 -12.2 ...0.0001 a) Is there strong evidence of an association between the weight of a car and its gas mileage? Write an appropri-ate hypothesis. b) Are the assumptions for regression satisfied?c) Test your hypothesis and state your conclusion.
- A manufacturer of high-resolution video terminals must control the tension on the mesh of fine wires that lies behind the surface of the viewing screen. Too much tension will tear the mesh, and too little will allow wrinkles. The tension is measured by an electrical device with output readings in millivolts (mV). Some variation is inherent in the production process. Here are the tension readings from a random sample of 20 screens from a single day’s production: 269.5 297.0 269.6 283.3 304.8 280.4 233.5 257.4 317.5 327.4 264.7 307.7 310.0 343.3 328.1 342.6 338.8 340.1 374.6 336.1 From this data, we compute ? = 306.32, ? = 36.21 Compute a 90% confidence interval for the mean tension μ of all the screens produced on this day.Department of Agriculture is concerned about the number of acres of farmland being withdrawn from farming. The department would like to propose new legislation to prevent this but wants to show the legislature what would happen if it does not act. the department’s statistician, regresses the number of acres used for farming in the state on time. finds the following: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .943a .890 .795 3.2875 a. Predictors: (Constant), Number of Years ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 1378.458 1 1378.458 141.149 .000a Residual 478.567 49 9.766 Total 1857.025 50 a. Predictors: (Constant), Number of Years b. Dependent Variable: Acres (in Millions) Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1…High Cholesterol: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in milligrams per deciliter, were measured before and after treatment for each individual, with the following results: Individual Before After 1 264 187 2 288 216 3 274 188 4 278 200 5 283 173 6 271 224 7 295 171 8 275 187 Send data to Excel Part: 0 / 2 0 of 2 Parts Complete Part 1 of 2 (a) Use a calculator to construct a 90% confidence interval for the mean reduction in cholesterol level. Round your answers to at least one decimal place. The confidence interval for the mean reduction in cholesterol level is , .
