State if the following is True or false and provide a brief explanation foryour answer.Consider Population model Y = Bo+ B1X1+ B2X2+ B3X3 + µ. Now consider thefollowing statements a to c. Assumption MLR 1 – 4 is satisfied if and only if:k. One problem with the use of a lagged dependent variable as an explanatory variable isthat it always gives rise to autocorrelation.1. The existence of a exact, linear relationship among some or all explanatory variables of aregression model is called multicollinearity.m. In multicollinearity, the variances and the standard errors (Se) of the regressioncoefficient estimates will increase. This means lower t-statistics. The overall fit of theregression equation will be largely unaffected by multicollinearity. This also mean thatforecasting and prediction will be largely unaffected.n. Regression coefficients will be sensitive to specifications. Regression coefficients canchange substantially when variables are added or dropped.o. Sometimes you can reduce multicollinearity by re-specifying the model, for instance,create a combination of multicollinear variables represents transforming the specificationerror.p. Inclusion of irrelevant variable(s) and error of measurement represents specificationerrors in a regression model.

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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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You have a table showing the following data: Crime No Yes Total Intelligence High 10 0 10 Medium 150 20 170 Low 80 20 100 Total 340 40 380 a. What would be more appropriate for this table (3x2)? Phi or Cramer's V?
Endocrinology In Section 2.10, we described Data Set BONEDEN.DAT concerning the effect of tobacco use on BMD. Note: 2.38-2.40 Involve computing a new variable C. Compute C using the formula given and then use STATA to produce the output requested. 2.38. For each pair of twins, compute the following for the lumbar spine: A = BMD for the heavier-smoking twin − BMD for the lighter-smoking twin = x1 − x2 B = mean BMD for the twinship = (x1 + x2)/2 C = 100% × (A/B) Derive appropriate descriptive statistics for C over the entire study population. 2.39. Suppose we group the twin pairs according to the difference in tobacco use expressed in 10 pack-year groups (0–9.9 pack-years/10–19.9 pack-years/20–29.9 pack-years/30–39.9 pack-years/40+ pack-years). Compute appropriate descriptive statistics, and provide a scatterplot for C grouped by the difference in tobacco use in pack-years 2.40. What impression do you have of the relationship between BMD and tobacco use based on Problem 2.39?
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