Suppose you fit the first-order model y = Po + B, x, + B2x2 + B3X3 + B,x4 + B5X5 + ɛ to n=28 data points and obtain SSE = 0.33 and R = 0.94. Completeparts a and b.a. Do the values of SSE and R suggest that the model provides a good fit to the data? Explain.A.Yes. Since R = 0.94 is close to 1, this indicates the model provides a good fit. Also, SSE = 0.33 is fairly small, which indicates the modelprovides a good fit.B. There is not enough information to decide.No. Since R = 0.94 is close to 1, this indicates the model does not provide a good fit. Also, SSE = 0.33 is fairly small, which indicates themodel does not provide a good fit.b. Is the model of any use in predictingTest the null hypothesis Ho: B, = B2 = ... = B5 = 0 against the alternative hypothesis: At leastof the%3Dparameters B1, B2,B5 is nonzero. Use a = 0.05.The test statistic is(Round to two decimal places as needed.)

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Description: Suppose you fit the first-order model y = Po + B, x, + B2x2 + B3X3 + B,x4 + B5X5 + ɛ to n=28 data points and obtain SSE = 0.33 and R = 0.94. Completeparts a and b.a. Do the values of SSE and R suggest that the model provides a good fit to the data?

The given value of R2 is 0.94, SSE is 0.33 and the value of n is 28.

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Statistics

Suppose you fit the first-order model y = Bo + B, x4 + B,x, + B3x3 + Baxa + B5X5 + e to n= 28 data points and obtain SSE = 0.33 and R = 0.94. Complete parts a and b. a. Do the values of SSE and R suggest that the model provides a good fit to the data? Explain. Yes. Since R = 0.94 is close to 1, this indicates the model provides a good fit. Also, SSE = 0.33 is fairly small, which indicates the model provides a good fit. B. There is not enough information to decide. OC. No. Since R = 0.94 is close to 1, this indicates the model does not provide a good fit. Also, SSE = 0.33 model does not provide a good fit. fairly small, which indicates the b. Is the model of any use in predicting y? Test the null hypothesis Ho: B1 = B2 =...= B5 = 0 against the alternative hypothesis: At least one of the parameters B1, B2, ... , B5 is nonzero. Use a = 0.05. The test statistic is. (Round to two decimal places as needed.)

Suppose you fit the first-order model y = Bo + B, x4 + B,x, + B3x3 + Baxa + B5X5 + e to n= 28 data points and obtain SSE = 0.33 and R = 0.94. Complete parts a and b. a. Do the values of SSE and R suggest that the model provides a good fit to the data? Explain. Yes. Since R = 0.94 is close to 1, this indicates the model provides a good fit. Also, SSE = 0.33 is fairly small, which indicates the model provides a good fit. B. There is not enough information to decide. OC. No. Since R = 0.94 is close to 1, this indicates the model does not provide a good fit. Also, SSE = 0.33 model does not provide a good fit. fairly small, which indicates the b. Is the model of any use in predicting y? Test the null hypothesis Ho: B1 = B2 =...= B5 = 0 against the alternative hypothesis: At least one of the parameters B1, B2, ... , B5 is nonzero. Use a = 0.05. The test statistic is. (Round to two decimal places as needed.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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