A value of rclose to -----suggests at most a weak linear relationship between the variables.

Short Answer

Expert verified

A value of rclose to localid="1651661900536" 0suggests at most a weak linear relationship between the variables.

Step by step solution

01

Given Information

To determine the blank in the given statement.

02

Explanation

The orientation of the linear association between x andy can be deduced from the sign of the linear correlation coefficient. The linear link is strong when r (the correlation coefficient) is around1 or -1; it is weak when r is near 0.

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Most popular questions from this chapter

4.85 A measure of the amount of variation in the observed values of the response variable explained by the regression is the-----. The mathematical abbreviation for it is----.

If ytends to increase linearly as xincreases, the variables are------ linearly correlated.

The data for shell thickness and concentration of PCBs for 60Anacapa pelican eggs from Exercise4.76are on the Weiss Stats site.

(a) Decide whether finding a regression line for the data is reasonable. If so, then also do puts (b)-(d).

4.76 PCBs and Pelicans, Polychlorinated biphenyls (PCBs), industrial pollutants, are known to be carcinogens and a great danger to natural ecosystems. As a result of several studies, PCB production was banned in the United States in 1979and by the Stockholm Convention on Persistent Organic Pollutants in 2001. One study, published in 1972 by R. Risebrough, is titled "Effects of Environmental Pollutants Upon Animals Other Than Man" (Proceedings of the 6th Berkeley Symposium on Mathematics and Statistics, Vl, University of California Press, Pp. 443-463). In that study, 60Anacapa pelican eggs were collected and measured for their shell thickness, in millimeters (mm), and concentration of PCBs, in parts per million (ppm). The data are on the Weiss Stats site.

a. Obtain a scatterplot for the data.

b. Decide whether finding a regression line for the data is reasonable. If so, then also do parts (c)-(f).

For each exercise, determine the linear correlation coefficient by using

a. Definirina 4on page 183,

b. Formula 4.3on page 185.

Compare year annex an para (a) and (b

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