How to run a gravity equation and how to interpret and analyse the results using this dataset datahttps://www.researchgate.net/publication/275018441_Stata_data_file_for_Gravity_Model
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How to run a gravity equation and how to interpret and analyse the results using this dataset
datahttps://www.researchgate.net/publication/275018441_Stata_data_file_for_Gravity_Model
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- What does this plot show about the model being analysed?Which of the non-parametric test for ordinal data is the best to use in the given scenario? An experiment was conducted to compare the strengths of two types of elastic bandages: one a standard bandage of a specified weight and the other the same standard but treated with a chemical substance. Ten pieces of each were randomly selected from production. Does the treated bandage tend to be stronger than the standard? Table 1. Strength measurements (and their ranks) for 2 types of bandages. STANDARD TREATED 1.21(2) 1.49(15) 1.43(12) 1.37(7.5) 1.35(6) 1.67(20) 1.51(17) 1.50(16) 1.39(9) 1.31(5) 1.17(1) 1.29(3.5) 1.48(14) 1.52(18) 1.42(11) 1.37(7.5) 1.29(3.5) 1.44(13) 1.4(10) 1.53(19) a. Mood median test b. sign test c. Wilcoxon rank-sum test d. Wilcoxon matched-pairs signed-ranks test e. Spearman and Kendall correlation coefficients f. Kruskal-Wallis testScenario: An HR manager wants to know if there is a difference between sexes (males and females) on number of years employed at his firm. Assume the data meets assumptions for a parametric test. Question: What is the scale of measurement of the dependent variable in this scenario?
- Weight 1.897 Cost 53.6 3.019 184.9 0.453 6.4 0.988 23.5 1.058 33.4 2.1 110.4 2.387 104.6 People at SpaceX Inc conducted a pilot study to determine the relationship between the weight and cost of a major object being sent into space. The results of the pilot study are contained in data file ASP.1, available in the LBRT #2 folder. Determine the number of observations needed to be 89% confident that the estimate of the average cost is within $15 of the overall mean cost. Note: Assume that the pilot study standard deviation is a good estimate of the population standard deviation, that an appropriate value from the Z-table can be used, and that hand calculations are used to find the answer (i.e. do not use Kaddstat).What information does a residual plot give us?Find the equation of the regression line for the data based on time spend forstudying and current CGPA
- Find regression of line scatterpolot ? identify chararctrics of the data that is ignored by regression LineWhat statistical test would be most appropriate if you were interested in seeing how religiosity changes in early adulthood? Religiosity was measured using an interval scale, and the same participants provided data at two time points – at age 15 and 25. Assume the data meets all assumptions for a parametric testFind the equation of the regression that model the relationship between the weight of mail and number of order using HYPERBOLIC EQUATION. Compute for the correlation coefficient using PEARSON PRODUCT MOMENT CORRELATION COEFFICIENT (PPMCC).
- Compare the difference of FE and RE models? What is the basis for choosing FE or RE to estimate the model with panel data? Which test is used for selection? Please provide detail answer for this question, i need it to review for my testThe scatter plot shows the sizes and annual rents of some office spaces in the downtown area of a city. Rent (dollars) 140,000 105,000 70,000 35,000 SIZE AND ANNUAL RENT OF OFFICE SPACE 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 Office Space (square feet) What would the line of best fit reveal about these data? There is a weak positive relationship between the cost of rent and the size of the office space. There is a strong negative relationship between the cost of rent and the size of the office space. There is a strong positive relationship between the cost of rent and the size of the office space. There is a weak negative relationship between the cost of rent and the size of the office space.Show the best fitted line on scatter diagram and Find the predicted value for each y using the exposure time and the equation obtained in part b (b. Find the equation of regression line between radiation doses on exposure time .usingleast square method)