d. Calculate the regression equation using the formulas for the regression coefficient b, and the intercept, or constant a. Remember that, unlike with correlation, identifying the correct independent (X) and dependent (Y) variables impacts the results
d. Calculate the regression equation using the formulas for the regression coefficient b, and the intercept, or constant a. Remember that, unlike with correlation, identifying the correct independent (X) and dependent (Y) variables impacts the results
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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d) I need your help with the question attached. Thank you! (data and question attached)
Transcribed Image Text:d. Calculate the regression equation using the formulas
for the regression coefficient b, and the intercept, or
constant a. Remember that, unlike with correlation,
identifying the correct independent (X) and dependent
(Y) variables impacts the results
Transcribed Image Text:Using the following data from 5 states, we are
asked to investigate the hypothesis that the
number of doctors per capita in a state influences
life expectancy (note this is not formal hypothesis
testing, as we're not doing a test of statistical
significance, but we can still interpret results as
being consistent with a hypothesis, or not).
Specifically, we're interested in whether the number
of medical doctors per 1000 state residents impacts
the average lifespan for these states.
Medical Doctors
Average
State
per thousand
lifespan in years
residents
Massachusetts
4.53
80.5
Pennsylvania
3.32
79.7
Michigan
2.88
79.2
Indiana
2.20
76.6
Wisconsin
2.60
80.3
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