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# I'm needing assistance on a Journal Article. I've completed all sections

except for the essay that needs to 4-6 pages. I've attached the work that I've completed, along with an example of the article entry.
You should read through the given information. There is no additional information to be provided. First of all, run the multiple regression with the data given. You can use Microsoft Excel to do this. With the results you obtained from Questions 1-4, you should be able to write an Abstract, Introduction, the Method you used, the Result you obtained and a Discussion. The background information you need will be clear to you when you run the regression for the data. The issue to raise in the Introduction will be what you feel is happening to the Export price, Foreign Income, Relative price…..
**Make sure you put a business context to it or write the value added by your work or what businesses can gain from the knowledge of the determinants of exports**
A combination of the sample that we are providing to you today and the previous sample that we provided should at least give person a passing chance.

Journal Project Part A: Please use the given information to answer the following questions. (Show your work) 1. According to the team marketing report quoted by Dallas Morning News, the average ticket price was up 4.7 percent for last year; show how they obtained a 4.7 % increase. 2. Further, is the 4.7 % increase accurate? If not, what should be the correct percentage increase?
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Period Export Y SUMMARY OUTPUT 1970 305 35 35 20 1971 130 98 22 15 Regression StaTsTcs 1972 189 83 27 17 Mul±ple R 0.993436 1973 175 76 16 9 R Square 0.986915 1974 101 93 28 16 Adjusted R 0.976447 1975 269 77 46 27 Standard E 1.272647 1976 421 44 56 35 Observa±o 10 1977 195 57 12 7 1978 282 31 40 22 ANOVA 1979 203 92 32 23 df SS MS F Signi±cance F Regression 4 610.8019 152.7005 94.28108 6.79E-005 Step 1: Click on Data, Data analysis, Regression Residual 5 8.09815 1.61963 Step 2: In the input Y range, select the dependent variable from E2:E12 Total 9 618.9 Step 3: In the input X range, select the independent variables from A2:E13 Step 4: Tick on the checkbox, labels, because we have the label names in row 2 Coe²cients tandard Erro t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% Step 5: Click on output op±on, output range and select J2 Intercept -262.2009 284.0943 -0.922936 0.398391 -992.4886 468.0867 -992.4886 468.0867 Step 6: Click ok and the regression output would be there. Period 0.127718 0.143956 0.887206 0.415599 -0.242331 0.497768 -0.242331 0.497768 Foreign In 0.026841 0.012262 2.18886 0.080212 -0.004681 0.058362 -0.004681 0.058362 Rela±ve Pr 0.097702 0.030705 3.18194 0.024485 0.018772 0.176633 0.018772 0.176633 Exchange-r 0.519937 0.060473 8.597883 0.000351 0.364487 0.675387 0.364487 0.675387 Foreign Income X1 Rela±ve Price X2 Exchange- rate Risk X3
%
Soluton 1. Average tckeT price in 1997 = \$40.93 Average tckeT price in 1998 = \$42.86 So, increase in tckeT price = {(42.86 – 40.93)/ 40.93}*100 = 4.7% 2. No, The 4.7% increase is noT accuraTe. ±he Team considered average tckeT price across all 30 home siTes, whose value was 4.7% increase. However, we need To see The Dallas price Average tckeT price in 1997 = \$43.48 Average tckeT price in 1998 = \$43.48 So, increase in tckeT price = {(43.48 – 43.48)/ 43.48}*100 = 0%
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Sample for Journal article
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