Imagine a regression line that relates average systolic blood
pressure to a person's age. For this setting let the average
systolic blood pressure play the role of the response variable. The
average blood pressure for people 26 years old is 92, while for
those 44 years old the average is 108.
Recall from high school that the slope is "rise" over "run". Since
this is a two-point line your model will fit perfectly (r = 1).
(a) What is the slope of the regression line?
(Round the answer to two decimal places.)
(b) What is the intercept of the regression line?
(Round the answer to two decimal places.)
(c) What is the estimated average systolic blood pressure for
people who are 36 years old?
(Round the answer to one decimal place.)
given average systolic blood pressure to a person's age
systolic blood pressure=y
age=x
In excel install analysis tool pack.
Goto data >data analysis >Regression
Select X range and Y rage.Click Ok.
we get below output:
Coefficients | |
Intercept | 68.88888889 |
x | 0.888888889 |
y=68.89+0.89x
predicted systolic blood pressure=68.89+0.89*age
SolutionA:
slope=0.89
SolutionB:
y intercept=68.89
Solutionc:
we have regression eq
predicted systolic blood pressure=68.89+0.89*age
predicted systolic blood pressure=68.89+0.89*36
=100.93
ANSWER:100.9
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