Answered: Systolic and diastolic blood pressure…

Algebra and Trigonometry (MindTap Course List)

4th Edition

ISBN:9781305071742

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section1.FOM: Focus On Modeling: Fitting Lines To Data

Problem 7P

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Related questions

Question

Systolic and diastolic blood pressure are measured in a large sample of healthy adults. The relationship between these variables is strong and linear. If a regression equation is constructed in order to predict systolic blood pressure based on diastolic blood pressure, we’d call systolic blood pressure the ________________________ variable and diastolic blood pressure the ________________________ variable.
lurking; response
explanatory; lurking
response; explanatory
explanatory; response
independent; dependent

2. Data was gathered from several homes for sale in Cincinnati Ohio, in order to examine the relationship between the size of the house (measured in square feet) and the price of the house (measured in dollars). Suppose you learn the relationship between these variables is linear and positive. When a regression equation is constructed in order to predict the price of a house based on its size, the equation is found to explain 54.7% of the variability in price. This means that within this data set, the correlation, or r, between the house size and house price must be equal to approximately

3. Which one of the following statements is false?

To compute r, the form of the relationship should be linear.
If you correlate two quantitative variables, called “x” and “y,” changing the units of measurement for “x” and “y” will not change the correlation between “x” and “y.”
If you correlate two quantitative variables, called “x” and “y,” the correlation will not change if you switch which variable is “x” and which is “y.”
The correlation coefficient is affected by outliers.
If two quantitative variables are strongly correlated, we should conclude that one variable causes the other.