a- Write down the economic function for the above estimation by using the information obtained from above tableb- Write down the economic model for the above estimation by using the information obtained from above table c- Write down the econometric model for the above estimation by using the information obtained from above table We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and population(POP) on CO2 emiisions (CO2) in Cyprus. The results are as follows;Dependent Variable: CO2Method: Least SquaresDate: 04/20/17 Time: 09:46Sample: 1990 2013Included observations: 24VariableCoefficientStd. Errort-StatisticProb.2.0028136.4586720.3100970.75970.022114-0.7343520.203927GDP0.0118721.8626700.0773ENERGY0.328388-2.2362330.0369POP0.2936860.6943710.49540.825079 Mean dependent var0.798841 S.D. dependent varR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihood3.6259820.108170-3.0628830.048515 Akaike info criterion0.047074 Schwarz criterion40.75460 Hannan-Quinn criter.-2.866541-3.010793F-statistic31.44583 Durbin-Watson stat1.410912Prob(F-statistic)0.000000

A regression model shows a relationship between 1 dependent variable and 1 or more independent…

a- Write down the economic function for the above estimation by using the information obtained from above table b- Write down the economic model for the above estimation by using the information obtained from above table c- Write down the econometric model for the above estimation by using the information obtained from above table

a- Write down the economic function for the above estimation by using the information obtained from above table b- Write down the economic model for the above estimation by using the information obtained from above table c- Write down the econometric model for the above estimation by using the information obtained from above table

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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12) The following results are an autoregression for US Exports to Mexico where the dependent variable is the lagged value of US Exports. a) Fill in the table b)Based on these regression results, what is your forecast of US Exports to Mexico for March 2005? c) Which of the two forecasts do you think is more accurate? Explain.
The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends upon many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for a 2007 model year Camry, the following data show the mileage and sale price for 19 sales (PriceHub website). Click on the datafile logo to reference the data. DATA file 1. 18 Price ($1000s) 16 14 12 10 18 6 If your answer is zero, enter "0". a. Select a scatter diagram with the car mileage on the horizontal axis and the price on the vertical axis. 20 40 6,0 8,0 100 Miles (1000s) 120 223 +♡ ♡ Miles(1000s) 29 36 47 63 77 73 87 92 101 110 28 59 68 68 91 42 65 110 Price ($1000s) 16.2 16.0 13.8 11.5 12.5 12.9 11.2 13.0 11.8 10.8 8.3 12.5 11.1 15.0 12.2 13.0 15.6 12.7 8.3
image attached. a. State your regression model.b. Interpret the result in the table using alpha level of significance at 5%.c. What percentage of variation of the dependent variable is explained by the model?d. Is the overall model significant? Why do you say so?
8. Suppose the following estimated regression equation was determined to predict salary based on years of experience. Estimated Salary = 27,017.66 +2343.69 (Years of Experience) What is the estimated salary for an employee with 26 years of experience? Answer:
1. Five children aged 2, 3, 5, 7 and 8 years old weigh 14, 20, 32, 42 and 44 kilograms respectively. Find the equation of the regression line of age on weight, showing your work for calculations of a and b. Based on this, what is the predicted weight of a six year old child?
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1.64 and 1.63 is incorrect please help ()()))
An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is F+ = 122 +1.9t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2 decimal places.) t 11 12 13 14 15 16 17 18 19 20 Units Sold 143 149 152 145 155 152 154 159 159 162 Click here for the Excel Data File MAD (Naive) MAD (Linear) MSE (Naive) MSE (Linear))
3. Suppose that the following import function for Turkey is estimated for Turkey between 1980-2015. Import, a, + a,GDP; + ażER¸ + ut In order to measure the impact of 2001 crisis the regression is estimated based on the whole and two subsamples and the following RSS are obtained. Time period: 1980-2000 , RSS1= 69 Time period: 2001-2015, RSS2 =35 Time period: 1980-2015 , RSS = 160 Carry out the Chow test whether the regressions for the two periods are different at 5% significance level. (35 P)
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The purpose of this assignment is to apply simple regression techniques to find factors that determine the car values. AS Instructions: 1. Open the dataset of FamilySedans (attached) and read the case entitled “Finding the Best Car Value” in its entirety at the end of Chapter 14. 2. Use descriptive statistics to summarize the data and make comments on them. 3. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car. 4. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the five-year owner costs. 5. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the road-test score. 6. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the predicted-reliability. 7. What conclusions can you derive from your…