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
Related questions
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.

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 |
Step by step
Solved in 2 steps with 1 images
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