80 0.4 ecdf of GDP De-00 2e-04 40-04 60-04 8e-04 16-05 X Frequency 8 Bar plot of GDP De-00 2e-04 40-04 - 60-04 Se+04 16-05 GOP 1 Boxplot of GDP GOP In the above ecdf, bar plot, and boxplot of countries around the world compared to their GDP, please describe the ECDF, bar plot and boxplot.
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- Suppose the linear relationship between traffic violations and auto insurance premium has SSR of 2825 and SST of 3150. What percent of the insurance premium is unexplained by traffic violation?(A/G, 12%, 5) is the same with the following equation: A) F=G/.12[((1.12^5)-1)/.12) - 5] F=A[((1.12^5)-1)/.12] A=G[1/.12 - (5/((1.12^5)-1)] D) A=P[.12/(1-(1.12^-5))]Estimate f(4.02, 2.01, –2.03) assuming the following. f(4, 2, –2) = 6 %3D fx(4, 2, –2) = 2 fy(4, 2, –2) = 5 f_(4, 2, –2) = 4 f(4.02, 2.01, -2.03) -
- 1 4 6. E (J) 1.99*10^6 6.3*10^7 1.99*10^9 6.3*10^10 1.99*10^12 6.3*10^13 1.99*10^15 5. In a spreadsheet, create a scatter plot of the points in your table. Adjust the viewing window so that all seven points are clearly visible. What do you see? Does your graph seem to convey the information in a good way? Why or why not? (Show your plot to yourFind X and mSUthe regression line always passes through mcq
- Finally, the researcher considers using regression analysis to establish a linear relationship between the two variables – hours worked per week and yearly income. Hours per week Yearly Income ('000's) 18 43.8p 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38…Finally, the researcher considers using regression analysis to establish a linear relationship between the two variables – hours worked per week and yearly income. Hours per week Yearly Income ('000's) 18 43.8p 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38…In the least-squares line = 5 + 2x, what is the marginal change in for each unit change in x?
- Suppose one has to deduce the state of traffic stream at a 2 km road section from prob-vehicle that broadcast their position and mean speed over the last km. It is known that on average 10 prob vehicles pass per hour over the section considered. The aim is to have fresh information about the traffic flow state every 6 minutes. Is it possible to achieve the aim? Give your opinion.Plot the percentage of machines not running as a function of the service factor for a population of 20 machines with exponential arrivals and services (a) if a single channel is employed and (b) if two channels are employed.3) Fresh tomatoes were stored at 15°C. Lycopene (orange-red pigment) contents were determined for a period of 10 weeks at 15°C. The results are presented in Table 3. Lycopene degradation during storage of tomatoes is known to give the straight line in a semi-log graphic paper. Table 3- Lycopene contents in fresh tomatoes stored at 15°C Storage time (week) Lycopene content (mg/kg) 33 2 23 6 5.3 10 2.1 a) Find out the equation describing the degradation of lycopene in tomatoes at 15°C, using the "linear regression analysis. Note: Give units wherever it is applicable!!!! Σxy- (Σx Σy / n ) ΣyΣx%- Σx Σxy b = Ex² - [ (Ex)² / n) ] η (Σχ'- [ (Σx)>/ n) ] )