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

See similar textbooks

Related questions

Q: Below is some of the regression output from a regression of the amount rental houses on an island…

A: Given Area of House=3900 square foot Find How much more (or less) does a 3900 square foot house that…

Q: The following regression uses data on illegal downloading of music. A sample of 500 individuals were…

Q: Month Sales (Thousands) Number of Calls Sales (Thousands) Jan 115 30 115 Feb 102 25 102 March 123 32…

A: Number of calls = x , Sales = y y x xy y2 x2 115 30 3450 13225 900 102 25 2550 10404 625…

Q: The following information is available regarding the total repair costs of Alexander Design Company…

A: 1) Follow the provided steps in excel to find out the required values: Enter data in an excel…

Q: The electric power consumed each month by a chemical plant is thought to be related to the average…

A: Given information: The output for multiple linear regression is given.

Q: Using excel. For the Hawkins Company, the monthly percentages of all shipments received on time over…

A: Given: For the Hawkins Company, the monthly percentages of all shipments received on time over the…

Q: For a certain product it was found that annual sales volume could be well described by a third-order…

A: The estimated model is given as: xt=197+1.80xt-1-0.29xt-2+0.03t-3+εt The sales for 1993, 1994 and…

Q: The data in the accompanying table represent the rate of return of a certain company stock for 11…

A: Given the data on rate of return of the index and rate of return of the company stock.want to fit…

Q: The population of Japan in 1960 was 94 million, the population in 1970 was 105 million. Set up and…

A: Given that the initial population of Japan in 1960 is 94million and the population of Japan in 1970…

Q: IDENTIFY THE TYPE (Qualitative or Quantitative; if Quantitative - Continuous or Discrete) AND LEVEL…

A: Quantitative variables: The variables are in numerical form. They can be analyzed directly.…

Q: Life Expectancy by Year of Birth (For all questions) This table shows the life expectancy (y) for an…

A: Step 1: Enter the DataOpen a new Excel spreadsheet.Enter the data into two columns:Column A for…

Q: Tuna 50,779 1.87 1.97 (a) Compute the index number (price relative) for each type of seafood. (Round…

Q: [5.56/11.12 Points] DETAILS MY NOTES LARCALC12 13.9.505.XP. PREVIOUS ANSWERS ASK YOUR TEACHER…

A: Given:dependent variable (y) = wheat yield (in bushels per acre) independent variable (x) = amount…

Q: (a) Run linear regression on the closing price data for BTC in the range of 12/15/2020 to…

A: The BTC closing price data from 12/15/2020 to 2/21/2021 is given below : Date Close* 21-Feb-21…

Q: a. Using a weighted moving average with weights of 0.60, 0.30, and 0.10, find the July forecast.…

A: To find the July forecast using a weighted moving average with weights of 0.60, 0.30, and 0.10,…

Q: Based on above assume you are using the moving average forecasting method based on the last four…

A: To forecast the next period using the moving average method based on the last four observations, the…

Q: We want to understand the relationship between sales growth rates (s) and project FCF growth rates…

A: To find the relationship between sales growth rates (s) and project Free Cash Flow (FCF) growth…

Q: Suppose you are examining a multi-variable linear regression model that was designed to predict the…

Q: The accompanying data represent the total compensation for 12 randomly selected chief executive…

A: The regression analysis is a statistical procedure that allow us to find the linear association…

Question

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: CO2
Method: Least Squares
Date: 04/20/17 Time: 09:46
Sample: 1990 2013
Included observations: 24
Variable
Coefficient
Std. Error
t-Statistic
Prob.
2.002813
6.458672
0.310097
0.7597
0.022114
-0.734352
0.203927
GDP
0.011872
1.862670
0.0773
ENERGY
0.328388
-2.236233
0.0369
POP
0.293686
0.694371
0.4954
0.825079 Mean dependent var
0.798841 S.D. dependent var
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
3.625982
0.108170
-3.062883
0.048515 Akaike info criterion
0.047074 Schwarz criterion
40.75460 Hannan-Quinn criter.
-2.866541
-3.010793
F-statistic
31.44583 Durbin-Watson stat
1.410912
Prob(F-statistic)
0.000000

Expression, rule, or law that gives the relationship between an independent variable and dependent variable. Some important types of functions are injective function, surjective function, polynomial function, and inverse function.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1: Describe regression model

VIEW

Step 2: Determine the economic function

VIEW

Step 3: Determine the economic model

VIEW

Step 4: Determine the econometric model

VIEW

Solution

VIEW

Step by step

Solved in 5 steps with 7 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

please give me answer in relatable
Please show work in excel Stars Co. wants to advertise its products in the hope that more advertising will result in more sales. The following data have been collected in the past year showing money spent on advertising in a month and sales on the same month: a) Develop a regression equation to forecast the Sales as a function of the Advertising by drawing a scatter chart in Excel. b) Suppose that the company would like to advertise in the amount of 30 thousands. Estimate the Sales in response to this amount of advertising. Month Sales (Thousands) Advertising (Thousands) Jan 1200 30 Feb 1100 25 March 1220 32 April 990 23 May 1190 31 June 1050 24 July 770 22 Aug 1080 28 Sept 1220 33 Oct 1140 25 Nov 740 19 Dec 790 20
This dataset continues our saga of modeling the price of this popular Honda automobile. The dataset has now been cleaned to remove the columns with the dealership where the car was offered for sale and specific trim. (a) write out your model in econometric notation. Be very precise! (b) using the 93 observations in the dataset, estimate a model where price is a function of age, mileage and trim of the car. Be sure to avoid the dummy variable trap!! Fully report the results of your model. In this case, interpretation of the coefficients on the dummy variables is particularly important. (c) test the hypothesis that the specific trim does not affect the price of a Civic. Be sure to do all parts of the hypothesis test. (please fully describe steps if you are using Excel) Price Years Old KM EX EXT SE Sport Touring 6555 9 290363 0 0 0 0 0 9999 9 142258 0 0 0 0 0 10281 6 132644 0 0 0 0 0 12480 5 167125 0 0 0 0 0 12991 7 57398 0 0 0 0 0 12991 6 93046 0 0 0 0 0 12991…
Plot the sales revenue figures and appropriate trend line on a graph and identify from this the choice of model for working out the seasonal component. Using the appropriate seasonal model, complete the calculations that are required to produce the required forecasts for quarters 1, 2, 3 and 4 of 2021. On the basis of your analysis explain the recommendation that you would make to ALAW Ltd regarding its future plans.
Pison/&user=tmorrison7&key%3DrotNBBCzVIsGRqZV8t.. Previous Problem Problem List Next Problem (1 point) Empathy means being able to understand what others feel. To see how the brain expresses empathy, researchers recruited 16 couples in their midtwenties who were married or had been dating for at least two years. They zapped the man's hand with an electrode while the woman watched, and measured the activity in several parts of the woman's brain that would respond to her own pain. Brain activity was recorded as a fraction of the activity observed when the woman herself was zapped with the electrode. The women also completed a psychological test that measures empathy. Subject 1 3 4 7 8 9 10 11 12 13 14 15 16 Empathy Score 41 48 39 56 64 63 59 53 Brain Activity -0.127 0.3910.02 0.378 0.015 0.404 0.11 0.513 0.149 0.736 0.254 0.573 0.217 0.72 0.355 0.786 47 52 64 73 12 68 28 120 1.2 sub ject Z F20 10,0 120 -8.4 Given that the equation for the regression line is y = 0.00619x +0.00032, what is…