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
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Author:Amos Gilat
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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
Transcribed Image Text: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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