Consider the linear regression of Y on X1 and X2. For this regression, you can tell whether the zero conditional mean condition for the error term holds, by checking whether the correlation between X1 and X2 is not one.
Explain in detail. T or F?
Consider the regression model, where “Y” be the dependent variable and “X1” and “X2” are the explanatory variable.
=> Y = b0 + b1*X1 + b2*X2 + u, where “u = the error term”.
Here the conditional mean of the error term is zero, that is E(u|X1, X2) = 0, implied the mean of the error term is zero and both the explanatory variables are totally uncorrelated to the error term. On the other hand the correlation between X1 and X2 measure the linear association between X1 and X2. So, the statement is FALSE.
Consider the linear regression of Y on X1 and X2. For this regression, you can tell...
Table 4 Regression Model Y = α X1 + β X2 Parameter Estimates Coefficient Standard Error Constant 12.924 4.425 X1 -3.682 2.630 X2 45.216 12.560 Analysis of Variance Source of Degrees Sum of Mean Variation of Freedom Squares Square F Regression XXX 4,853 2,426.5 XXX Error XXX 485.3 Find above partial statistical output...
4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: 0.04 + 0.28X1 + 0.84X2-0.06x3 + 0.14x4 y She would like to conduct significance tests for a multiple regression relationship. She uses the F test to determine whether a significant relationship exists...
Consider a multiple regression model of the dependent variable y on independent variables x1, X2, X3, and x4: Using data with n 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: y0.35 0.58x1 + 0.45x2-0.25x3 - 0.10x4 He would like to conduct significance tests for a multiple regression relationship. He uses the F test to determine whether a significant relationship exists between the dependent variable and He uses the t...
Q3. [10 points [Serial Correlation Consider a simple linear regression model with time series data: Suppose the error ut is strictly exogenous. That is Moreover, the error term follows an AR(1) serial correlation model. That where et are uncorrelated, and have a zero mean and constant variance a. 2 points Will the OLS estimator of P be unbiased? Why or why not? b. [3 points Will the conventional estimator of the variance of the OLS estimator be unbiased? Why or...
O. Let X1 and X2 be two random variables, and let Y = (X1 + X2)2. Suppose that E[Y ] = 25 and that the variance of X1 and X2 are 9 and 16, respectively. O. Let Xi and X2 be two random variables, and let Y = (X1 X2)2. Suppose that and that the variance of X1 and X2 are 9 and 16, respectively E[Y] = 25 (63) Suppose that both X\ and X2 have mean zero. Then the...
Q1: Given three data vectors x1, X2 and y. Simple regression between x1 and y yields a model with R2-0.5, then adding X2 Into the predictors yields a multiple regression model with R20.68. What is the partial correlation x2.ylx1 ? (note the ± sign when taking square root!)
A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained. Coefficient Standard Error Constant 4.0928 1.4400 X1 10.0230 1.6512 X2 0.1020 0.1225 X3 -4.4811 1.4400 Analysis of Variance Source DoF SoS MS F Regression ? 360.59...
topic: model selection on applied linear regression Exercise 5.5.3 LetY (6,8,9,4,4,4,4,4), X1 (3,0,6,2,4,7,0,0), X2 Consider the regression model Y-k) + Xi A +X2β2+ e, e ~ N (0 (3,0,6,2,4,7,7,0) , σ2 18). i) Find the VIFs for Xi and X2. ii) Estimate β1, β2 and find the variances of the estimates in terms of σ2 iii) Estimate σ2. iv) Find X3, which is a unit vector in the span of Xi,X2 but is orthogonal to X2 (Hints: consider (In-Ho)Xi for...
Use the following linear regression equation to answer the questions. x1 = 1.4 + 3.1x2 – 8.2x3 + 2.1x4 Suppose x3 and x4 were held at fixed but arbitrary values and x2 increased by 1 unit. What would be the corresponding change in x1? Suppose x2 increased by 2 units. What would be the expected change in x1? Suppose x2 decreased by 4 units. What would be the expected change in x1? (e) Suppose that n = 13 data points...