i. Is there evidence tjattje average infant mortality rate increases with teen birth rate? (Assume signifcance level is 0.05).ii. should we reject the nulliii. justify your decision in i. using a rejection region. Bivariate Fit of mort By teenmort1312-1110-9-85RSquareRSquare Adj10- Linear FitLinear Fitmort = 7.5264022 + 0.2250883*teenSummary of FitteenSourceModelErrorC. TotalRoot Mean Square ErrorMean of ResponseObservations (or Sum Wgts)Analysis of Variance150.3014840.2862991.14044110.32548Sum ofDFSquares Mean Square125.82212925.822146 59.8278711.300647 85.65000020F Ratio19.8539Prob > F<.0001*Parameter EstimatesTerm Estimate Std Error t Ratio Prob>|t| Lower 95% Upper 95%Intercept 7.5264022 0.649296 11.59 <.0001* 6.2194381 8.8333664teen0.2250883 0.050516 4.46 <.0001* 0.1234047 0.3267719

From the regression output, the parameter estimates is given as: Term Estimate Std Error…

Is there evidence tjattje average infant mortality rate increases with teen birth rate? (Assume signifcance level is 0.05). ii. should we reject the null iii. justify your decision in i. using a rejection region.

Is there evidence tjattje average infant mortality rate increases with teen birth rate? (Assume signifcance level is 0.05). ii. should we reject the null iii. justify your decision in i. using a rejection region.

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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