2.3Upon tasked with deriving estimates of B1, B2, 8 and the standard errors (SE) of ẞ₁ andB2 for the replicated data. Mariana assistant calculates them to be:Dependent Variable: Blood (Y)Included observations: 62Variablec(B1)Study (B2)ParameterStd. Error139.85851.5490-3.1330.1786S.E. of regression2.7865Using above information conduct the following:2.3.2 the 99% confidence interval for ẞ₁2.3.4 the 99% confidence interval for 22.3.5 the hypothesis test at a = 5% where Ho: ẞ1 = 133 and H₁: B₁> 133

2.3.2.99% C.I. for β1: b1 ± t1-α/2, n-2 * se(b1)139.858 ± t99.5, 60 * 1.5490135.73494 ≤ β1 ≤…

Answered: 2.3 Upon tasked with deriving estimates…

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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Shown below is a portion of a computer output for regression analysis relating y (dependent variable) and x (independent variable). ANOVA df SS Regression 1 24.061 Residual 10 67.979 Coefficients Standard Error Intercept 11.064 2.049 x −0.566 0.301 (a) What has been the sample size for the above regression analysis? (b) Perform a t-test and determine whether or not x and y are related. Let ? = 0.05. State the null and alternative hypotheses. (Enter != for ≠ as needed.) H0: Ha: Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = What is your conclusion? .
= 12.3 The Regression Equation X E Rounding Numbers Calculator X xyzHomework Assessment + → C A A https://www.xyzhomework.com 80% Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in 3- millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 21 4 22 18 6. 23 30 8 33 23 10 31 Ho: p = 0 Ha: p # 0 Find the Linear Correlation Coefficient r= Find the p-value p-value = The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decișion to Reject Ho O Accept Ho O Do Not Reject Ho signific voters p. The n The conclusion is There is a significant positive linear correlation between advertising expense and profit. O There is a significant negative linear correlation between advertising expense and profit. There ie n cianifiannt linaar corralation…
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