You are interested in estimating the following model:Y₁ Bo + B₁Y21 + B₂X11 + B3X21 + nibut are worried about the endogeneity of Y₂, you have 2 potential instruments, denoted Z₁, and Z₂. You have n = 100observations and estimate the following models by OLS:Dep. Variable Y Y₁ Y₁ Y₁ Y₂ Y₂ Y₂2.251 2.1140.457constantY₂X₁X₂Y₂ûY₁Z₁Z₂RSSAnswer:172.889 1.765 -1.004 -0.883-1.269 0.249 0.0860.1190.2210.2941.221 1.001 0.992 0.823 0.445 0.557 0.678 0.125 0.064 0.1780.886 1.005 -0.216 -0.042 -0.142-0.707-0.882-0.802-0.665 1.2290.2210.446ĥ0.233-0.112 0.3450.445 0.1410.345 -0.292-0.118 -0.09714.20 14.85 13.76 14.06 10.02 11.59 9.85 6.99 7.330.114-0.1626.62where û are the residuals and Y₂ are the fitted values from the appropriate 1st stage regression. The test for instrumentrelevance is (2 decimal places):

The F-test for the Hausman-Wu test for endogeneity of Y₂ is not possible to calculate from the…

Answered: You are interested in estimating the…

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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Needed to be solved correclty in 1 hour and get the thumbs up please show neat and clean work.
Consider the two estimated regression models: = 2.33 + 8.23X, +3.55X,i, i= 1, ...,43, with RSS = 400. 4.87 + 10.97X,ii = 1, ...,43 %3D Model 2: Ý, = with RSS = 490- %3D The F-statistic for testing Ho: Ba = 0 agains H.: Ho not true, equals: 10 O 8 O7 O 6
Given are five observations for two variables, x and y. xi 3 12 6 20 14 yi 55 45 50 15 20 #1) Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi − x)(yi − y) Σ(xi − x)2 and b0 = y − b1x. y= #2) Use the estimated regression equation to predict the value of y when x = 13.
Ma4. Please give only typed answer.
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 8 6 10 13 (d) Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi − x)(yi − y) Σ(xi − x)2 and b0 = y − b1x. ŷ = (e) Use the estimated regression equation to predict the value of y when x = 2.
Stats test Nicole’s score on the Stats midterm was80 points. The class average was 75 and the standarddeviation was 5 points. What was her z-score?
Needed to be solved correclty in 1 hour and get the thumbs up please show neat and clean work please provide correct solution
22. In a regression model involving 45 observations, the following estimated regression equation was obtained . Y =29+18X 1 +43X 2 +87X 3 +15X 4 For this model SSR = 400 and SST = 1000 The MSR for the above model is A. 10 B. None C. 100 D. 150 E. 40
Please calculate the following Chi Square equations. 1. Chi Square Single Sample Physical activity generally declines when students leave high school and enroll in college. This suggests that college is an ideal setting to promote physical activity. One study examined the level of physical activity in a sample of 570 college students. Use the hypothesis steps provided in the video to determine whether there is a significant difference in physical activity among college students. State whether you reject or fail to reject the null hypothesis.
A group of children were asked to draw a circle the size of a nicket, without having a nickel to see. In the data below, x= Incomes (in thousands of $) of the the family and y= the diameter of the circle drawn. Test for a significant correlation between income and drawn nickel size. Income (thousands of $) Coin size (mm) 33 25 20 23 36 16 47 22 22 34 14 27 23 20 45 27 24 39 23 91 22 42 12 84 18 46 18 45 22 90 13 54 22 45 18 90 16 54 19 You can copy the data into StatCrunch, Excel, or Google Sheets, by highlighting the data, right-clicking, and selecting Copy (or Ctrl • c), then open a StatCrunch, Excel, or Google Sheets spreadsheet, click on the first cell, and right-clicking and selecting Paste (or Ctri + v). Test the claim that there is significant correlation at the 0.02 significance level. Retain at least 3 decimals on all values. a) Identify the correct hypotheses. Họ:r = 0 HA:r +0 Ho:4 = 0
Suppose we have data on dependent variable y and explanatory variables x 1 and x_2, all measured in units. We estimate the following linear regression: Number of cbs = E( 2, 1656) Prob > ? R-squared Adj R-squared 1659 1123.68 0.0000 0.5757 %3D 0.5752 Coef. Std. Err. P>It| x_1 I x_2 1 cons I 1.003119 .68 80123 .2408667 .0252676 .0253665 .077143 39.70 27.12 3.12 0.000 0.000 0.002 Which of the following statements is correct? Select one: a. We can conclude that there is no nonlinear effect of x 2 on y. b. An increase of 1% in x_1 increases y by 0.3119%, when x 2 remains constant. c. The estimated level of y for someone with x_1 equal to 10 and x_2 equal to 8 is 15.535. d. The estimated level of y for someone with x_1 equal to 10 and x 2 equal to 8 is 15.776,

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