We use Minitab to solve this question-
yes we can estimate because R square =100% means model is well adequate.
Suppose you want to estimate the model y Bo + βλη + β2T2 + u, with the data with the data: 10 1 1...
a,b,c,d
3. Suppose the following data has been obtained for the linear model Y Bo+ x 14 2 1 4 0 22 (a) Find the OLS estimators βο and A using the non-matrix method. (b) Find the OLS estimators using the matrix method. (c) Find the coefficient of determination. (d) Find the standard error of
3. Suppose the following data has been obtained for the linear model Y Bo+ x 14 2 1 4 0 22 (a) Find the OLS...
Question 1 1. [1 point] Suppose the regression model is logarithmic: log(Y ) = β1 + β2 log(X) + u. The estimate of β2 is 0.035. What is the interpretation of this coefficient? 2. [1 point] Suppose the regression model is semi-logarithmic: log(Y ) = β1 + β2X + u. The estimate of β2 is 0.035. What is the interpretation of this coefficient? 3. [1point]Supposetheregressionmodelhasquadraticterm: Y =β1+β2X+β3X2+u. The estimate of β2 is 0.035. What is the interpretation of this coefficient?...
Question 2 1 pts suppose you estimate the following model: Y-α + β1 X1 + β2X2 + γΖ + u You wish to test the null hypothesis: Ho; A-:-As against a two-sided alternative. You do so, and get the following estimates: βι 5.23, B2--4.56, 8e (A) 2.09, 8e (%) 1.47, 8e (A-A) 2.24, 8e (A +%)-0.94 What is the value of the relevant test statistic for this hypothesis test? 4.37 0.71 0.30 10.41
(6)Suppose that we estimate the model: y = ap + a2 +e, when the true model was y = Bo + B12+ B2x+u. Under what conditions and in what direction will ái be biased.
1. Suppose you are interested in estimating the following model: Yi = Bo + B11; +u; where B, is the coefficient of interest in the model. Unfortunately, you have reason to believe that couci, u) +0. Suppose you also have data on another variable, zi, and its relationship to I, is as follows: Di = 0o + Q121 + Ei (b) Using Method of Moments, derive IV. Be sure to show all steps and clearly state the logic behind each.
linear regression
solve number 1 only
1. (a) Consider the model Y =Bo+BX +BX2+BX3 + B4X4+€. If it is suggested to you that the two variables Z = X1+ X4 and Z2 X+ X might be adequate to represent the data, what hypothesis, in the form CB 0, would you need to test? (Give the form of C) (b) For the data ((Xi, X2, Y) : (-1, -1,5.2). (-1,0,6.1). (0,0.7.8), (1,0, 10.3), (1.1,10.9)). fit the model Y Bo + 3,X+2X2+....
1. In the simple regression model y = + β1x + u, suppose that E (u) 0. Letting oo-E(u), show that the model can always be rewrit ten with the same slope, but a new intercept and error, where the new error has a zero expected value 2. The data set BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, nfan birth weight in ounces (bught), and an explanatory variable,...
Exercise 4.11 Consider the regression model Y Po PX+u Suppose that you know Bo 1. Derive the formula for the least squares estimator of p The least squares objective function is OA. n (v2-bo-bx?) i-1 Ов. O B. n (M-bo-bX) /# 1 n Click to select your answer and then click Check Answer. Exercise 4.11 OA n Σ (--B,χ?) O B. E (Y-bo-b,X)2 j= 1 n Σ (Υ-Βo-bΧ) 3. j= 1 D. n Σ (Υ-0-b,) i- 1 Click to select...
please show all steps thank
you
4. (10 marks) Let βο and βι be the intercept and slope from the regression of y on xi, using n observations Let c1 and c2, with c#0, be constants. Let ß0 and ßl be the intercept and slope from the regression ofciyi on c2xi. Show that ßi-(c1/c2) B\ and Bo -cißo, thereby verifying the claims on units of measurement in Section 2-4. [Hint: Plug the scaled versions of x and y into A-s....
4. (24 marks) Suppose that the random variables Yi,..., Yn satisfy Y-B BX,+ Ei, 1-1, , n, where βο and βι are parameters, X1, ,X, are con- stants, and e1,... ,en are independent and identically distributed ran- dom variables with Ei ~ N (0,02), where σ2 is a third unknown pa- rameter. This is the familiar form for a simple linear regression model, where the parameters A, β, and σ2 explain the relationship between a dependent (or response) variable Y...