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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Question

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 null

iii. justify your decision in i. using a rejection region.

Bivariate Fit of mort By teen
mort
13
12-
11
10-
9-
8
5
RSquare
RSquare Adj
10
- Linear Fit
Linear Fit
mort = 7.5264022 + 0.2250883*teen
Summary of Fit
teen
Source
Model
Error
C. Total
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts)
Analysis of Variance
15
0.301484
0.286299
1.140441
10.325
48
Sum of
DF
Squares Mean Square
1
25.822129
25.8221
46 59.827871
1.3006
47 85.650000
20
F Ratio
19.8539
Prob > F
<.0001*
Parameter Estimates
Term Estimate Std Error t Ratio Prob>|t| Lower 95% Upper 95%
Intercept 7.5264022 0.649296 11.59 <.0001* 6.2194381 8.8333664
teen
0.2250883 0.050516 4.46 <.0001* 0.1234047 0.3267719

Expert Solution

Step 1

From the regression output, the parameter estimates is given as:

Term	Estimate	Std Error
Intercept	7.5264022	0.649296
Teen	0.2250883	0.050516

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