Suppose the simple linear regression model, Y; = Bo + B1 a; + Ej, is used to explain the relationship between x and y.A random sample of n10 values for the explanatory variable (x) was selected and the corresponding values of theresponse variable (y) were observed. The summary statistics were:Σ.8, Συ- 10 , Σα,y 9.5,Σ-7.4, Σ-20 7. Suppose we want to test, at the 5% level of significance, whether there is a linear relationship between x and y. That is,we want to test the null hypothesis Ho : B1 = 0 against the alternative hypothesis Ha : B1 7 0. What is the distributionof the test statistic for this test?t10Ο Ν(0, 1)t9O ts

From the given data Select the correct choice

7. Suppose we want to test, at the 5% level of significance, whether there is a linear relationship between æ and y. That is, we want to test the null hypothesis Ho : B1 = 0 against the alternative hypothesis Ha : B1 7 0. What is the distribution of the test statistic for this test? O t10 O N(0,1) O to O ts

7. Suppose we want to test, at the 5% level of significance, whether there is a linear relationship between æ and y. That is, we want to test the null hypothesis Ho : B1 = 0 against the alternative hypothesis Ha : B1 7 0. What is the distribution of the test statistic for this test? O t10 O N(0,1) O to O ts

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.6: Higher-degree Polynomials And Rational Functions

Problem 1TU: The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t=...

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The following estimated regression equation is based on 10 observations yhat = 30.12 + .60x1 + .48x2 SST = 680.3, SSR= 601.4, Sb1 = .0813 and Sb2 = .0567 a. Compute MSR and MSE b. Compute F and perform the appropriate F test. Use alpha = .05. c. Perform a t test for the significance of B1. Use alpha = .05. d. Perform a t test for the significance of B2. Use alpha = .05.
Q11. A fitted linear regression equation is ŷ = 6–2x. If x = 3 and the corresponding observedvalue of y = 2, the residual at this observation is:a. –5b. 2c. –3d. –2
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