Q: ods which might be use to select the sample households.
A: Answer Specifically for an outsized population, the tactic that is additional in usage is sampling,…
Q: 1 X₁ X₂ Linear regression Logistic model Sample means 0.192 (0.03) -0.13 (0.03) 0.08 (0.03) -1.65…
A: Given,linear regressionLogistic modelsample…
Q: Find the OLS estimators for the parameters using the matrices above
A: The OLS estimators can be determined by minimizing the square of error term.
Q: Consider a data set with 15 observations and consider a multiple linear regression model with 7…
A: We have the following information:Sum of squares total (SST) = 1325Sum of squares regression (SSR) =…
Q: A linear regression model for the revenue data for a company is R = 27.11+203 where R is total…
A: Regression is a statistical method used to model and analyze the relationship between one or more…
Q: True or False? A dataset consists of U.S. dollar exchange rates the day before yesterday against 30…
A: Exchange rates describe how one currency's value relates to another's on the forex market. A time…
Q: Image uploaded solution is not allowed please dear expert.
A: n=6x̄=37.5Ȳ =1258.67Σ x =225Σ y=7552Σ x² =8875Σ xy=287025…
Q: A forecaster used the regression equation Qt= a + bt+q₁D₁ + c2D2 + c3D3 and quarterly sales data for…
A: Estimating the usual relationship between the one dependent variable and the one or more independent…
Q: Fixed effects model with three time periods Consider the following general fixed effects model for…
A: The fixed effects model is a widely used approach in econometrics for analyzing panel data, where…
Q: Randomly choose one country from each of the following regions: Africa, the Caribbean, Latin America…
A: Here are four randomly chosen countries from each of the specified regions along with their…
Q: The Australian Government has developed a survey to enable it to gauge the views of the Australian…
A: The objective of the question is to identify the appropriate type of visualisation that can be used…
Q: Dependent Variable: INTEREST Method: Least Squares Date: 08/08/20 Time: 17:38 Sample: 2010M01…
A: This table shows the correlation between error terms at different times. The correlation shows the…
Q: You are interested in the effect rainfall has on the number of traffic accidents in your city. You…
A: Based from the specifications, we are to assume that the values under the regression equations are…
Q: find the point estimate for x = 100 and p = 9
A: The provided information are: x=100 p=9
Q: Which one of the following statements is true for a linear regression model with non-spherical…
A: Linear regression is maybe one in all the foremost documented and well understood algorithms in…
Q: 1 3 4 Y, I 6. 11 9 14 15 a. Choose the correct time series plot. (i) 16 (ii) 16 14 14 12 12 10 10 8…
A: *answer:
Q: rue or False For a linear regression model including only an intercept, the OLS estimator of that…
A:
Q: A researcher fitted following OLS regression using time series data from 1973 t0 2020 (Bar)BD =-3.7…
A: The budget deficit as a percentage of GDP depends on exchange rate, government expenditures,…
Q: Aur 2.81-0.23xgy, R² = 0.36, SER=0.78 (0.12) (0.04) that the estimator has a normal distribution,…
A: The unemployment rate is the level of the workforce without a task. It is a trailing result,…
Q: In terms of econometric perspective, what are the assumptions or elements that you need to consider…
A: As per the classical presumptions, the components of the unsettling influence vector ε are…
Q: 2 Environmental Kuznets Curves (EKC) Using cross-sectional data across all countries in 2022,…
A: The Environmental Kuznets curve (EKC) is a graphical representation that explains the relationship…
Q: You have the same regression as in (e) the coefficient estimate you will get for B2, the coefficient…
A: For each unit change in the independent variable, the slope of the line representing the change in…
Q: Variable: RMQG Dependent Method: Least Squares Date: 06/30/20 Time: 16:55 Sample (adjusted): 2010M02…
A: Given The estimated coefficient of market return (RORD) is 1.224135 The estimated standard error of…
Q: You estimated a regression with the following output. Source | SS df…
A: The regression line states the linear relationship between the dependent variable and independent…
Q: the logistic equation y=9200/(1+8.03x^-0.121t) models the gross domestic product (GDP) of the united…
A: Given Information: y=9200/(1+8.03x^-0.121t) The (GDP) of the united states is given for the period…
Q: Based on 1337 data points, the following equation was estimated using OLS.From this fragment of data…
A: Given Estimated OLS equation: Ghat = 11.7+2.5W For 445th data point, value of W is 32. We have to…
Q: In the following regression Price = 119.2 + 0.485BDR+23.4Bath +0.156Hsize + 0.002Lsize +0.09 (23.9)…
A: Please find the attached asnwer below-
Q: We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and…
A: Since you have asked multiple questions, we will solve the first-three sub-parts for you. If you…
Q: anth Sales Forecast 1 Forecast 2 1 770 771 769 2 789 785 787 3 794 790 792 780 784 798 768 770 774…
A: *Answer: Given data Month Sales Forecast1 Forecast 2 1 770 771 769 2 789 785 787 3…
Q: 1 2 3 Based on the above chart and assuming that without seasonality each quarter will have equal…
A: An indicator of how a specific season within a cycle compares to the average season within that…
Q: Select one:
A: Given - Mean - 41 Median - 36 Mode -31
Q: 5. The following estimated equation was obtained by OLS regression using quarterly data for 1978 to…
A: Coefficient of determination = Explained sum of squares / (explained sum of squares + residual sum…
Q: Based on the following data and information, estimate the intercept of the equation using OLS (3…
A: The ordinary least square (OLS) is the method to estimate the unknown values of parameters of the…
Q: 2- regression analysis is concerned with estimating .. Please select one; a) the mean of value of…
A: In economics, various real life models are fitted into mathematical equations to observe…
Q: Use General Linear Process to determine the the autocovariance function of mean funchon and ARca)…
A: A function is a formula that expresses one variable in terms of another.The phrase "y is a function…
Q: Help!
A: Let's dive into a more detailed explanation for question (c):In cross-sectional regressions, we…
Q: None
A: Given:The estimated regression model:Predicted(colGPA)=β1+β2hsGPA+β3ACT+uparameters:β1 = 0.9β2 =…
Q: a) Obtain the value of x in the equation: 2x + 1 = e3 (b) Consider the following equation: y…
A: (a) 2x + 1 = e3 Taking 1 on LHS to RHS: 2x =e3 -1 Dividing both the sides by 2: x= (e3 -1 )/2 So,…
Q: A researcher estimates a regression using two different software packages.The first uses the…
A: The regression is a method of finding the mathematical relationship between the dependent and…
Q: A researcher has a sample of 6 annual observations {94, 104, 102, 99, 111 and 107} for the CPI in…
A: The Consumer Price Index is a weighted average of expenses for a basket of goods and services, such…
Q: A multiple OLS regression of maize output (Y) on improved maize seed (X1) and fertiliser (X2) inputs…
A: t statistic is calculate by the formula tβ^=β^−β0SE(β^) where is our estimation of the parameter…
Q: You estimated a regression with the following output. Source | SS df…
A: The regression analysis attempts to determine the strength and character of dependent variables with…
Q: None
A: To forecast the value of Y_t for January 2018 using the AR(4) model, we use the following…
Q: Suppose we estimated our multiple linear regression, all of the variables have p values below 0.05…
A: The objective of the question is to understand the meaning of the p-value of the intercept in a…
Q: Interpret the following results with (UR) uemployment rate as dependent variable and (INF) inflation…
A: First of all, we have to know the regression equation which is used in econometrics or stats for…
Does the following dataset satisfy GARP?
Step by step
Solved in 2 steps
- Disposable income, the amount left after taxes have been paid, is one measure of the health of the economy. Using U.S. Energy Information Administration data for selected years from 2015 and projected to 2040, the U.S. real disposable income per capita (in dollars) can be approximated by the equation I = 707.6t + 39,090 where t is the number of years after 2015. (a) What t-value corresponds to 2021? t = (b) Find the predicted U.S. per capita real disposable income (to the nearest $10) in 2021. $ (c) In what year is the U.S. per capita real disposable income expected to exceed $55,000? Extreme Protection, Inc. manufactures helmets for skiing and snowboarding. The fixed costs for one model of helmet are $6600 per month. Materials and labor for each helmet of this model are $55, and the company sells this helmet to dealers for $85 each. (Let x represent the number of helmets sold. Let C, R, and P be measured in dollars.) (a) For this helmet, write the function for monthly total costs…2. Consider the following regression model and the result of estimation: distance Bo + B,angle + u %3D Where: distance = distance (in feet) traveled by a baseball, angle = the angle (in degrees) the baseball was hit, %3! u= regression error. Dependent Variable: DISTANCE Method: Least Squares Sample: 1 13 Included observations: 13 Variable Coefficient Std. Error t-Statistic Prob. C. ANGLE 32.93084 0.785542 5.146819 1.981191 0.0003 0.0731 169.4891 1.556309 a) Breusch-Godfrey test has been performed that produced the following result. Discuss the test result. Breusch-Godfrey Serial Correlation LM Test: Null hypothesis: No serial correlation at up to 2 lags F-statistic 6.534685 Prob. F(2,9) 7.698535 Prob. Chi-Square(2) 0.0177 0.0213 Obs R-squared b) RESET test has been performed that produced the following result. Discuss the test result. Ramsey RESET Test Equation: EQ01 Specification: DISTANCE C ANGLE Omitted Variables: Powers of fitted values from 2 to 3 Value 475.8260 60.71504 df…Question 22 A computer depreciates 32% per year. A computer is bought for $1200. What is an equation to model this where V is the value of the computer and t is the years that passs since it is bought. Ov= 1200(-0.32)t OV= 1200(0.32) OV = 1200(1.32) OV = 1200(0.68) Question 23 A computer depreciates 32% per year. A computer is bought for $1200. What is an equation for the year since the comupter is bought as a function of the computer's worth? Ot=10g0.68 (1200)
- Q1(e) Suppose you have been given the following ordinary least squares (OLS) regression result. Estimated Long Run Coefficients using the ARDL Approach ARDL (1,2,2,2,0,2) selected based on Akaike Information Criterion Dependent variable is LY 33 observations used for estimation from 1987 to 2019 T-Ratio [Prob.] 4.6671[0.000] 4.6678[0.051] 7.9897[0.043] -4.802[0.009] 2.3898[0.028] 1.0498[0.308] Regressor Coefficient Standard Error 0.36068 0.45447 LK 0.077280 LM 0.097363 0.48751 -0.41208 0.19057 0.52521 LE 0.061017 LF 0.085800 LT 0.079744 C 0.500320 where, Y = Economic growth K = Capital M = Employment E = Electricity consumption F = Foreign direct investment T= Technology (i) Write the regression equation. Interpret the estimated coefficients. (ii) Which explanatory variables are significant at the 1%, 5% and 10% level? Which variables are insignificant? Briefly explain.You are given the following data: The regression equation is: A. -0.66 B. -1.20 (X'X)*¹ C. 1.12 O D. 2.06 = 1.3 2.1 0.8 -1.4 1.9 2.1 -1.4 s² = 0.86. T = 103 The correlation between ₁ and 3 (i.e., corr(Â₁, Â3)) is: -1.6] 1.9 (X'y) = 2.9 3.4 0.8 Yt = B₁ + B₂X2+ + B3X3t + Ut.
- You estimated a regression with the following output. Source | SS df MS Number of obs = 223 -------------+---------------------------------- F(1, 221) = 17592.99 Model | 182392130 1 182392130 Prob > F = 0.0000 Residual | 2291176.96 221 10367.3166 R-squared = 0.9876 -------------+---------------------------------- Adj R-squared = 0.9875 Total | 184683307 222 831906.786 Root MSE = 101.82 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 11.97037 .0902481 132.64 0.000 11.79252 12.14823 _cons | 74.40159 10.96696 6.78 0.000 52.78839 96.01479…The models below have been estimated using monthly data for the period 2000: 1-2020: 12. The natural logarithm of the variables used in this model is taken and the transaction is made. D08 is the dummy variable that takes a value of 1 in 2008 and after and 0 in other periods. s.e. indicates the standard error. Comment on the coefficients of variables D08 and (X2t * D08) in the model (3) above.When considering data metrics, the first task is to define just what we want to occur and what we need to measure. True False
- NoneA researcher investigating whether government expenditure crowds out investment estimates a regression on data for 30 countries. I-investment; G-government recurrent expenditure; Y=gross domestic product; all measured in $US billion. P= population measured in million. Standard errors are in parentheses. Î= 18.10 (7.79) R² = 0.99 1.07G + 36Y (0.14) (0.02) She suspects that countries with higher GDP may have more variability in their investment. She sorts the observations by increasing size of gdp per capita (Y)and estimates the regression again for the 11 countries with the lowest gdp(Y)and the 11 countries with the largest gdp(Y). The RSS1 from the first regression is 7186. The RSS2 from the second regresison is 28101. Perform a Goldfeld-Quandt Test at a 5% significance level. a. The test statistic for this test is 0.256 b. The critical value defining the rejection region for Ho is 3.18 c. Is there heterscedasticity? Yes=1 or No-0. The answer is 0Bureau of Economic Analysis in the USA is responsible for construction and maintenance of national income and product accounts (NIPA). Measurement began in the 1930s due to frustration of Roosevelt and Hoover trying to design policies to combat the Great Depression. Simon Kuznets (Nobel laureate) was commissioned to develop initial methodology and estimates. In 1947, the process became much more consistent. Methodologies have frequently been changed (improved?) as a result of advances in economics, accounting, and data collection. Past data are then revised to reflect new definitions. On the following information, calculate GNP at factor cost. Whether GNPFC derive from income method equivalent to expenditure method? S.No. Items Rs. (In Crores) 1 Private final consumption expenditure 1000 2 Net domestic capital formation (Investment) 200 3 Profit 400 4 Compensation of employers (Wages and salaries) 800 5 Rent 250 6 Government final consumption expenditure…