Q4. Shown below is a portion of a computer output for a regression analysis relating Y (dependent variable) and X (independent variable). ANOVA df SS Regression 1 115.064 Residual 13 82.936 Total Coefficients Standard Error Intercept 15.532 1.457 x -1.106 0.261 Perform a t test using the p-value approach and determine whether or not Y and X are related. Let a = 0.05. Formulate the null and alternative hypotheses Select the significance level Select the test statistic and calculate its value. Identify p-value/critical value for the test statistics and state the decision rule Compare calculated/p-value and critical/al[ha values and reach a conclusion about the null hypothesis

Q4. Shown below is a portion of a computer output for a regression analysis relating Y (dependent variable) and X (independent variable). ANOVA df SS Regression 1 115.064 Residual 13 82.936 Total Coefficients Standard Error Intercept 15.532 1.457 x -1.106 0.261 Perform a t test using the p-value approach and determine whether or not Y and X are related. Let a = 0.05. Formulate the null and alternative hypotheses Select the significance level Select the test statistic and calculate its value. Identify p-value/critical value for the test statistics and state the decision rule Compare calculated/p-value and critical/al[ha values and reach a conclusion about the null hypothesis

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4GP

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