A major credit card company is interested in whether there is a linear relationship between its internal rating of a customer's credit risk and that of an independent rating agency. The company collected a random sample of200 customers and used the data to test the claim that there is a linear relationship. The following hypotheses were used to test the claim.Но : В, — 0Ha : B1 + 0The test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value?AIf the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.CIf the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001.EIf the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.

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t-statistic = 3.34 p-value = 0.001

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he test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value? If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. B) If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. c) If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. D) If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001. E) If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.

he test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value? If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. B) If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. c) If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. D) If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001. E) If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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