Method: Dummy Variable

Methods: Regression, Time Series, Dummy Variable,
Topics: Automotive, Government, Health,
Datafile Name: Albuquerque Batmobile

In April 1979 the Albuquerque Police Department began a special enforcement program aimed at reducing DWI accidents. The program consisted of a squad of police officers who manned a van which housed a Breath Alcohol Testing (BAT) device. The data collected to evaluate the program consisted of a q...

Methods: Diagnostics, Dummy Variable, Interaction, Regression,
Topics: Economics, Government, Consumer,
Datafile Name: Home Prices

From data maintained by the multiple listing agency in Albuquerque, the file contains prices of home resales along with descriptive data on the home, including square feet, age, number of certain features, custom built or not, and corner location or not. Another dummy variable is whether the home...

Methods: Correlation, Dummy Variable, Outlier, Regression, Scatterplot,
Topics: Consumer, Health,
Datafile Name: Alcohol and Tobacco

Data from a British government survey of household spending may be used to examine the relationship between household spending on tobacco products and alcholic beverages. A scatterplot of spending on alcohol vs. spending on tobacco in the 11 regions of Great Britain shows an overall positive line...

Methods: Regression, Dummy Variable,
Topics: Economics, Government,
Datafile Name: Factors in Country Inflation

The authors of the publication cited as the datafile source were concerned to find factors associated with differences in historical inflation rates among countries. They developed indexes of independence of the central bank from questionnaires about policies and practices as well as from the leg...

Methods: Regression, Interaction, Dummy Variable, ANOVA,
Topics: Consumer, Food,
Datafile Name: Taste Test Scores

Two-way analysis of variance with two levels of each classification can be easily handled by regression analysis with dummy (0,1) variables for the two levels. The example involves food taste scores in an experiment in which a coarse and fine screen for texture and a high and low liquid level wer...

Methods: Regression, Dummy Variable, Interaction,
Topics: Consumer, Engineering,
Datafile Name: Nambeware Polishing Times

The average polishing times for 59 products are related in general to the sizes of the products as indicated by product diameter (or equivalent). However, dif- ferent types of products have special problems in polishing. For example, cas- seroles are deeper than ordinary plates and on that accoun...

Methods: Regression, Dummy Variable, Confidence Interval,
Topics: Government, Miscellaneous,
Datafile Name: Parking Meter Theft

The variable CON in the datafile Parking Meter Theft represents monthly parking meter collections by the principle contractor in New York City from May 1977 to March 1981. In addition to contractor collections, the city made collections from a number of "control" meters close to City Ha...

Methods: Regression, Outlier, Dummy Variable,
Topics: Government, Social Science, Sociology,
Datafile Name: New York City Crime

The datafile contains percent changes in manpower and seasonally adjusted changes in weekly auto thefts and larcenies for the 25 precincts in New York City from a base period of 27 weeks in 1966 to an experimental period of 58 weeks in late 1966 and 1967. During the experimental period police man...

Methods: Regression, Dummy Variable, Interaction, Transformation,
Topics: Consumer, Engineering,
Datafile Name: Nambeware Polishing Times

The relation between polishing time and product diameters as well as type of product (casserole, other) is one which is useful to the company for estimating the polishing time for new products which are designed or suggested for design and manufacture. A necessary regression assumption is that th...

Methods: Outlier, Regression, Residuals, Interaction, Dummy Variable,
Topics: Economics, Sports,
Datafile Name: Q-back and Team Salaries

The datafile contains 1991 season leading quarterback and total team salary
for football teams in the American Football Conference (AFC) and National
Football Conference (NFC) of the National Football League(NFL). Two poten-
tial influential observations (Steelers and Bears) ...

Methods: Dummy Variable, Regression, Residuals, Time Series,
Topics: Consumer, Economics,
Datafile Name: Quarterly Appliance Sales

The data presented in the datafile Quarterly Appliance Sales are suitable for developing models for predicting the four kinds of appliance sales. Three kinds of models can be developed. These are:

1. A model with appropriate quarterly indicators, a time variable, coincident and lagged v...

Methods: Outlier, Regression, Residuals, Transformation, Nonlinear Regression, Dummy Variable,
Topics: Health, Medical, Social Science,
Datafile Name: Smoking and Cancer

Nevada and the District of Columbia are outliers in the distribution of cigarette consumption (sale) per capita by states in 1960. How the most extreme observa- tion, Nevada, should be handled in the regressions of various cancer death rates on cigarette consumption, however, varies. In addition,...

Methods: Outlier, Regression, Polynomial Regression, Dummy Variable,
Topics: Economics, Government,
Datafile Name: State Public Expenditures

In extending the regression of state and local per capita public expenditures to factors in addition to economic ability (see State Spending and Ability to Pay), metropolitanization is a relevant factor. A linear regression with the perce...

Methods: Outlier, Regression, Dummy Variable,
Topics: Economics, Government,
Datafile Name: State Public Expenditures

Economic ability is seen as a major determinant of varying public expenditures per capita among states in 1960. Two factors modify the simple relationship of expenditures to economic ability, however. First is the fact that Nevada has an undue influence on the overall regression. Second is the fa...

Methods: Dummy Variable, Diagnostics, Interaction, Outlier, Residuals, Transformation,
Topics: Economics, Education, Government,
Datafile Name: Teacher Pay by States

The scatter diagram below shows one potential influential observation, namely Alaska, which is an outlier in terms of spending per pupil. In addition, the question can be raised whether the level and slope of an appropriate regression line would be the same for the three regions of the country. S...

Methods: Regression, Interaction, Dummy Variable,
Topics: Economics, Government,
Datafile Name: Unions and State Labor Law

The dummy variables for presence of state bargaining laws covering public employees and presence of state right to work laws in the datafile provide an opportunity to examine a two-predictor regression involving dummy varia- bles. In this case there is interaction between the two dummy variables ...

Methods: Dummy Variable, Regression, Scatterplot,
Topics: Government,
Datafile Name: Votes

The "Votes" dataset contains the percent of the popular vote that was won by the Democratic presidential candidates in the 1980 and 1984 elections. Both candidates, Jimmy Carter in 1980 and Walter Mondale in 1984, were defeated by the Republican Ronald Reagan. (In 1980 an independent ca...

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