Question: Use the WEO data We will use the following variables ( see lines on excel ) : Line 4 - GPD current prices Line 8

Use the WEO data
We will use the following variables (see lines on excel):
Line 4- GPD current prices
Line 84- Sunflower Oil, US export price from Gulf of Mexico, US$ per metric ton.
Line 121-Commodity Metals Price Index includes Copper, Aluminum, Iron Ore, Tin,
Nickel, Zinc, Lead, and Uranium Price Indices
Line 101- Commodity Beverage Price Index includes Coffee, Tea, and Cocoa
Exercise 1. Linear Regression
Do a linear regression and present the graphics and correlation between -1) please copy and paste the graphics 2) add explanation of this relationship - is it negative? Positive? No relationship?
GDP vs Sunflower Oil, US export price from Gulf of Mexico, US$ per metric ton.
GDP vs Commodity Metals Price Index includes Copper, Aluminum, Iron Ore, Tin, Nickel, Zinc, Lead, and Uranium Price Indices
GDP vs Commodity Beverage Price Index includes Coffee, Tea, and Cocoa
Exercise 2. Multiple regression
Use GDP as a dependent variable.
And Sunflower, Commodity Metals, and Commodity Beverage as independent variables.
Present the multiple regression. (yes, copy and paste the results here).
What do you conclude?
LINE 4: NGDPD World Gross domestic product, current prices U.S. dollars Billions 11,236.0711,496.4111,284.6511,586.7411,999.2712,528.4514,771.9117,008.4419,125.1120,121.2422,612.4023,638.6425,317.1426,037.1327,989.3631,209.7832,078.1231,993.0331,836.9032,965.2634,056.8533,804.7734,917.4839,211.8944,137.0647,810.1251,778.0558,452.1464,160.7660,776.5966,487.9573,781.2675,227.5077,387.3879,449.9674,968.4876,227.9581,050.9685,966.8387,283.6084,894.9296,314.46100,218.40105,568.78110,763.88116,449.85122,425.78128,505.33134,950.48
LINE 84: PSUNO World Sunflower Oil, US export price from Gulf of Mexico, US$ per metric tonne U.S. dollars Units 556.013561.653464.602490.531673.72584.951463.629450.078595.18606.198603.572587.115562.181682.172723.53631.71560.392556.892665.228466.463379.327436.109605.827649.997734.4071,144.54713.1116731,693.651,041.671,186.001,621.841,489.481,341.221,080.311,022.181,009.74953.032900.806883.5111,056.511,718.911,934.161,448.221,448.221,448.221,448.221,448.221,448.22
LINE 121: PMETAW World Commodity Metals Price Index includes Copper, Aluminum, Iron Ore, Tin, Nickel, Zinc, Lead, and Uranium Price Indices Index, 2016=100 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 47.87940.45247.18457.51750.93950.90641.03541.3947.93241.79441.3348.38367.23182.841130.095160.665144.284121.437185.838209.357172.098165.419145.273105.604100122.189130.287135.32140.01205.413193.895200.702195.432192.467191.564192.916193.775
LINE 101: PBEVEW World Commodity Beverage Price Index includes Coffee, Tea, and Cocoa Index, 2016=100114.29587.7689.49497.44111.17399.27116.18182.74180.94366.04455.48551.51643.90549.07789.61892.99772.42287.70379.3862.5748.33138.6145.19348.44149.49261.84869.17280.23897.72891.924105.901130.896106.78992.292111.308103.04110096.20787.32682.36284.376103.313117.916111.442108.962109.363109.363109.363109.363

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