31. Suppose you fit a multiple linear regression model
y = β0 + β1x1 + β2x2 + β3x3 + β4x4 + ε
to n = 30 data points and obtain
SSE = 282 and R^2 = 0.8266
a.) Find an estimate of s^2 for the multiple regression model
(a) s^2 ≈ 30.9856
(b) s^2 ≈ 28.6021
(c) s^2 ≈ 1.3111
(d) s^2 ≈ 29.7938 (d)
b.) Based on the data information given in a.), you use F-test to test
H0 : β1 = β2 = β3 = β4 = 0 against Ha : βi does not equal 0 for some i with 1 ≤ i ≤ 4
at the α = 0.05 level of significance. Find the observed value
of your test statistic.
(a) f = 11.28 (a)
(b) f ≈ 10.8462
(c) f ≈ 9.7241
(d) f = 70.5
Thanks for the help in advance.
31. Suppose you fit a multiple linear regression model y = β0 + β1x1 + β2x2...
Suppose you fit the multiple regression model y = β0 + β1x1 + β2x2 + ϵ to n = 30 data points and obtain the following result: y ̂=3.4-4.6x_1+2.7x_2+0.93x_3 The estimated standard errors of β ̂_2 and β ̂_3 are 1.86 and .29, respectively. Test the null hypothesis H0: β2 = 0 against the alternative hypothesis Ha: β2 ≠0. Use α = .05. Test the null hypothesis H0: β3 = 0 against the alternative hypothesis Ha: β3 ≠0. Use α...
Consider a regression model Y = β0 + β1X1 + β2X2 + ε, where X1 is a numerical variable, and X2 is a dummy variable. Sketch the response curves (the graphs of E(Y ) as a function of X1 for different values of X2), if η0 = 25, β1 = 0.2, and β2 = −12.
When estimating y = β0 + β1x1 + β2x2 + β3x3 + ε, you wish to test H0: β1 = β2 = 0 versus HA: At least one βi ≠ 0. The value of the test statistic is F(2,20) = 2.50 and its associated p-value is 0.1073. At the 5% significance level, the conclusion is to ________. Multiple Choice a. reject the null hypothesis; we can conclude that x1 and x2 are jointly significant b. not reject the null hypothesis;...
When estimating y = β0 + β1x1 + β2x2 + β3x3 + ε, you wish to test H0: β1 = β2 = 0 versus HA: At least one βi ≠ 0. The value of the test statistic is F(2,20) = 2.50 and its associated p-value is 0.1073. At the 5% significance level, the conclusion is to ________. Multiple Choice a. reject the null hypothesis; we can conclude that x1 and x2 are jointly significant b. not reject the null hypothesis;...
2) Suppose the original regression is given by y = β0 + β1x1 + β2x2 + β3x3 + u. You want to test for heteroscedasticity using F test. What auxiliary regression should you run? What is the null hypothesis you need to test?
Suppose you fit the multiple regression model y = β0 + β1x1 + β2x2 + ϵ to n = 30 data points and obtain the following result: y ̂=3.4-4.6x_1+2.7x_2+0.93x_3 The estimated standard errors of β ̂_2 and β ̂_3 are 1.86 and .29, respectively. Test the null hypothesis H0: β2 = 0 against the alternative hypothesis Ha: β2 ≠0. Use α = .05. Test the null hypothesis H0: β3 = 0 against the alternative hypothesis Ha: β3 ≠0. Use α...
(True or False) In the multiple regression model y = β0 + β1x1 + β2x2 + ... + u, if x2 is correlated with u but uncorrelated with x1, then βˆ 2 is said to be biased.
Exhibit a. y = β0 + β1x1 + β2x2 + ε b. E(y) = β0 + β1x1 c. = b0 + b1 x1 + b2 x2 d. E(y) = β0 + β1x1 + β2x2 3. Refer to Exhibit. Which equation describes the multiple regression equation? a. equation a b. equation b c. equation c d. equation d
1.The following tables give the results for the full model, as well as a reduced model, containing only experience Test Ho: ß,-Bs-0 vs HA: β2 and/or β3 # 0 Complete Model: Y-βο + β1X1 + β2X2 + β3Xs + ε ANOVA MS P-value df 76.9 Regression Residual Total 2470.4 823.5 224.7 2695.1 .0000 10.7 21 24 Reduced Model: Y = β0 + β X + ε MS df 1 23 24 value 2394.9 2394.9 183.5 0.0000 300.2 13.1 2695.1 Regression...
Suppose we are working on the same data set. Two multiple linear regressions have been done with following Printout, where “ “ means blank space. Analysis of Variance Table 1 Response: y Df Sum Sq Mean Sq F value Pr(>F) x1 1 --------- ---------- -------- ------------- *** x2 1 80.206 80.206 17.892 0.0001474 *** Residuals 37 165.864 4.483 Analysis of Variance Table 2 Response: y Df Sum Sq Mean Sq F...