d) Let's say one community has 450 physicians. How many deaths would be predicted? What if the number of physicians increases to 1,000? Show all of your work. 1

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Chapter1: Starting With Matlab
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How do I work part D of this problem? I have found the p-value and all that but I'm not sure how to apply what I found to that part? I am using a simple linear regression model for this problem.

1) A researcher wants to determine whether the death rafte (number of deaths per 1,000 people) coun be
predicted based on physician availability (number of physicians per 100,000 residents). He collected data fro:
15 communities across the United States. The data are as folloWs:
Desth Rate
(#/1,000)
8.
Physician Availability
(#/100,000)
284
9.3
433
7.5
739
8.9
1792
10.2
477
8.3
362
8.8
671
8.8
636
10.7
329
11.7
634
8.5
631
8.3
257
8.2
284
7.9
603
10.3
686
a) What are the null and alternative hypotheses for this study? What statistical test should be used for t
study? Justify your answer.
b) What are the explanatory and response variables in this study? Justify your answer.
c) What percent of the variability in the response variable is explained by the explanatory variable? Is
relationship between the two variables significant or not? Show your work.
d) Let's say one community has 450 physicians. How many deaths would be predicted? What if the
number of physicians increases to 1,000? Show all of your work.
1
0 00
Transcribed Image Text:1) A researcher wants to determine whether the death rafte (number of deaths per 1,000 people) coun be predicted based on physician availability (number of physicians per 100,000 residents). He collected data fro: 15 communities across the United States. The data are as folloWs: Desth Rate (#/1,000) 8. Physician Availability (#/100,000) 284 9.3 433 7.5 739 8.9 1792 10.2 477 8.3 362 8.8 671 8.8 636 10.7 329 11.7 634 8.5 631 8.3 257 8.2 284 7.9 603 10.3 686 a) What are the null and alternative hypotheses for this study? What statistical test should be used for t study? Justify your answer. b) What are the explanatory and response variables in this study? Justify your answer. c) What percent of the variability in the response variable is explained by the explanatory variable? Is relationship between the two variables significant or not? Show your work. d) Let's say one community has 450 physicians. How many deaths would be predicted? What if the number of physicians increases to 1,000? Show all of your work. 1 0 00
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