If
In part A) we need to enter 30.8 in first box and 5.4 in second box.
So, 57.8 is the answer for part b)
c) if
In part C) we need to enter 23.9 in first box and 5.4 in second box.
d)
So, 158.9 is the answer for part d).
Please comment if any doubt. Thank you.
Consider the regression model y = Bo + B1X1 + B2X2 + ε where Xy and...
The regressions Y = BO + B1X1 + B2X2 + B3X3 + B4X4 + ε and Y = BO + B1X1 + B2X2 + ε were run using a sample of 30 observations. The SSE for the first regression is 298.4 and 382.3 for the second regression. Test HO : 33 = B4 = 0. Select one: O a. Reject HO at a = 0.025 O b. Reject HO at a = 0.01 O c. Fail to reject HO at...
Consider the regression model y-80 + β1 x1 + β2x2 + e where x1 and x2 are as defined below. x1 = A quantitative variable lifx1 <20 o if x, 220 The estimated regression equation y 25.7 +5.5X +78x2 was obtained from a sample of 30 observations. Complete parts a through d below. a. Provide the estimated regression equation for instances in which x1 20. (Type integers or decimals.) b. Determine the value of y when x, -15. (Type an...
Consider the following regression model: Xi = Bo + Bixi + y; where yi is individual i's University GPA and xi is the individual's high school grades. a. What do you think is in ui? Do you think E[ulx) = 0? Suggest a variable that you think might affect University GPA that isn't included in the regression equation but should be. c. What sign of bias would you expect in an OLS regression of y on x? Briefly explain. d....
2) Suppose the regression model y = B0 + B1x1 + B2x2 + B3x3 + B4x1x2 + B5x1x3 + B6x2x3 was fit to n = 27 data points with SSE = 2000.0. a) Set up the null and alternative hypotheses for testing whether the interaction terms are significant. b) Give the reduced model necessary to test the significance of the interaction terms. c) The reduced model resulted in SSE = 2800. Calculate the value of the test statistic appropriate for...
2) Suppose the regression model y = B0 + B1x1 + B2x2 + B3x3 + B4x1x2 + B5x1x3 + B6x2x3 was fit to n = 27 data points with SSE = 2000.0. a) Set up the null and alternative hypotheses for testing whether the interaction terms are significant. b) Give the reduced model necessary to test the significance of the interaction terms. c) The reduced model resulted in SSE = 2800. Calculate the value of the test statistic appropriate for...
Assume that the variable Y is actually determined by the following equation Y; = Bo + B1X1,i+ B2X2,i + Uj additionally assume that corr(X1, X2) = p. The usual assumptions for a linear model hold in this case. You are interested in estimating B1. To accomplish this you collect a sample of the variables Y and X1 and estimate the following model Y; = Yo + 91X1,i+ vi (3) Answer the following questions 6. If p= 0 and B2 >...
Consider the following Excel outout for a regression model where Y = GDP, X, employment and Xx = fixed capital Sample size = 20 observations Intercept Standard Error 34370.0541 5.8749 0.0962 Coefficients 59450 2848 12.3387 0.4346 Pour 0.1064 Star 17049 2.1003 Lower 95% -133019.7674 -0.0562 Upper 95% 14118.9979 2 4.7336 00003 Model 1: Y = Bo+B.X1+B2X:+8 Based on the value of statistic, determine whether you should reject or not to reject the null hypothesis of two failed test). Make decision...
[For questions 10-15] Consider the following multiple regression model with two right-hand-side variables. Y; = bo + by Xli + b2 X 2 +e Question 10 1 pts Please answer whether the following equation is true or false. Y; = bo + b1 X1 + b2 X2i True False D Question 11 1 pts Please answer whether the following equation is true or false. et =Y - Ý True O False
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
Section 12.3 Multiple Linear Regression: Number ONE: Statistical software was used to fit the model E(y)Pox1 2x2 to n 20 data points. Complete parts a through h EEB Click the icon to see the software output. Data Table The regression equation is Y-1738.93 - 384.54x1 517.39x2 Predictor Constant X1 X2 Coef 1738.93 - 384.54 -517.39 SE Coef 369.06 101.65 - 3.78 0.002 353.04 - 1.47 0.162 4.71 0.000 s-172.003 R-sq-55.0% R-sq(adj):49.0% Analysis of Variance MS Source Regression Residual Error 17...