Chapter 4: Q.4.119 (page 189)
The linear correlation coefficient is also known by another name. what is it?
The other name is Pearson product moment correlation coefficient.
Over 30 million students worldwide already upgrade their learning with Vaia!
All the tools & learning materials you need for study success - in one app.
Get started for free
a) Plot the data points and the first linear equation on one graph and the data points and the second linear equation on another.
(b) Construct tables for
(c) Determine which line fits the data points better according to the least-square criterion.
4.78 Gas Guzzlers. The magazine Consumer Reports publishes information on automobile gas mileage and variables that affect gas mileage. In one issue, data on gas mileage (in miles per gallon) and engine displacement (in liters) were published for vehicles. Those data are available 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).
A value of close to ------- indicates that there is either no linear relationship between the variables or a weak one.
Acreage and Value. The document Arizona Residential Property Valuation System, published by the Arizona Department of Revenue, describes how county assessors use computerized systems to value single-family residential properties for property tax purposes. On the Weiss Stats site are data on lot size (in acres) and assessed value (in thousands of dollars) for a sample of homes in a particular area.
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).
Fill in the blanks.
a. In the context of regression, an_______ is a data point that lies far from the regression line, relative to the other data points.
b. In regression analysis, an_______ is a data point where removal causes the regression equation to change considerably:
What do you think about this solution?
We value your feedback to improve our textbook solutions.
