Consider the following econometric modely=B₁ + B₁ Before + B₂ Treatment + B3AfterXTreatment + uwhere the variable names are self-explanatory. In which kind of estimation is such a model typically used?a. After Treatment Effect estimationb. Difference-in-Difference estimationC. Instrumental Variable estimationFirst Difference estimation

We have given a econometric model and also given that variable names are self explanatory. Then we…

Answered: Consider the following econometric…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 5E

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Assume we have data demonstrating a strong linear link between the amount of fertilizer applied to certain plants and their yield. Which is the independent variable in this research question?
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В. A model estimated using a dataset with 125 observations generates the following results. SS df MS Regression 919587.543 4 229896.9 Error 2590390.62 121 534.2113 Std. Variable B Error t P>lt| X2 -0.0126355 0.005519 -2.28937 0.022 X3 0.5957923 0.014482 41.13934 0.000 Х4 1.124589 0.877192 1.282032 0.200 X5 0.3237421 0.060709 5.332661 0.000 constant 8.86016 1.766116 5.016749 0.000 What is the R2 for this sample? What information does the R² provide?
overleaf…/Page 7(b) Finally, the researcher is interested in examining the regression model for knowledge, attitudeand practices towards the COFLU-20. The following model was developed to forecastindividual practices towards COFLU-20 using knowledge and attitude scores.P = α + β K + δ Awhere P = Practice towards COFLU-20 scoreK = Knowledge towards COFLU-20 scoreA = Attitude towards COFLU-20 scoreThe data are processed using MINITAB and the output in Exhibit 1 below was obtained:Exhibit 1The regression equation is *************Predictor Coef SE t-ratio PConstant 4.755 0.462 10.282 0Knowledge 0.8 0.039 2.055 0.041Attitude 0.024 0.6 0.393 0.695R-sq = 81.5%Analysis of VarianceSOURCE DF SS MS F PRegression 2 38.06 19.03 2.284 0.104Error 297 2474.887 8.333Total 299 2512.947(i) Identify the dependent variable(s) and the independent variable(s).[(ii) Is δ significant?Show proof of the testing process used to arrive at your decision.State what this means in terms of attitude and practices.…
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15. For Suppose a commercial developer is considering purchasing a established business district. The developer can use multiple linear regression analysis to estimate the value of an office building in each area based on the following variables. group of small office buildings in an y = Assessed value of the office building x1 = Floor space in square feet x2 = Number of offices x3= Number of entrances x4 = Age of the office building in years ISUMMARY OUTPUT Regression Statistics 0.99837267 Multiple R R Square Adjusted R Square 0.99457999 Standard Error 0.99674799 970.578463 Observations 11 ANOVA Df SS MS F 1732393319|4.33E+08 Regression Residual 459.7536742 6 5652135.316| 942022.6 Total 10 1738045455 Standard t Stat Coefficients 52317.8305 Error P-value 12237.3616 4.275254|0.005232793764 Floor Space (x1) 27.6413874 5.429374042 5.091082|0.002240962381 12529.7682 400.0668382 31.31919|0.000000070386 Intercept Offices (x2) 2553.21066 530.6691519 4.811304|0.002966281803 |-234.23716…
The model developed from sample data that has the form of Yhat = bo +bjX is known as the multiple regression model with two predictor variables. (True or False) O True O False

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Consider the following econometric model y = Bo + B₁ Before + B₂ Treatment + B3AfterXTreatment + u where the variable names are self-explanatory. In which kind of estimation is such a model typically used?