Exam 13: Analysis & Interpretation: Multiple Variables Simultaneously

A simple regression is a statistical technique used to derive an equation that relates a single continuous dependent variable to two or more independent variables.

In which of the following situations would it be useful to test for differences between two groups?

A popular approach to measuring the strength of the relationship between two categorical variables is:

Consider the regression equation Y = 5 + 16X₁ + 38X₂ relating annual expenditures on a particular product Y to X₁ and X₂, where Which of the following is FALSE? The equation suggests

The multiple R, also called the coefficient of determination, in multiple regression ranges from 0.00 to +1.00 and represents the amount of the dependent variable "explained" by the combined independent variables.

A researcher is interested in comparing the usage of bank debit cards by consumers in rural (r) and urban (u) areas. Each year for the past five years, she has surveyed 500 individuals (one-half urban, one-half rural) randomly selected from across the United States. She is specifically interested in any differences that may exist between the two groups with regard to usage. The results of the current study indicate that people in urban areas use bank debit cards 12 times per month on average( ), while those in rural areas use bank cards 10 times per month on average ( ). -Refer to Exhibit 13.2. Assuming that the standard error of estimate for the difference in means is 1.5, calculate the value of the test statistic that would be used in the comparison of the two means.

All other variables held constant, a 95% confidence interval will give us a narrower range than will a 99% confidence interval.

A research study involving the research question: "On the basis of a survey of husband-wife households, is there a significant difference between the mean attitude score of husbands and that of wives toward our product?" will involve a:

In the chi-square analysis, the greater the differences between the observed frequencies and the expected frequencies, the less likely it is that there will be a statistically significant relationship.

The value of the product-moment coefficient of correlation ranges from:

An analyst has a set of normally distributed intervally scaled data resulting from two observations on the same sample of subjects, and he wishes to investigate if there is any difference in these two means. The appropriate statistical procedure is:

When performing cross tabulations, percentages are always calculated in the direction of the:

What conclusion(s) can you make from the following cross tabulation?

Cramer's V is scaled to range between:

A toy storeowner hypothesizes, at the 95% level of confidence, that parents spend less than $100 on toys per visit to her store. A sample is taken and the hypothesis test shows a z value of -1.65. We accept the hypothesis:

Which of the following statements about regression/correlation analysis is FALSE?

A statistical technique used with a continuous dependent variable and one or more categorical independent variables is called a(n) ____________________.

A gum manufacturer wants to determine whether blue packaging or red packaging is preferred. The company performs a sales test by introducing red packages into a random sample of ten stores and blue packages are introduced in an independent, random sample of ten stores. The technique most appropriate for analyzing the data is:

If you have a significant and very strong (e.g., > 0.90 correlation coefficient), you may assume there is a causal relationship between the two variables.

Which statistical technique should you use to answer the question: "Is there a significant relationship between education level (a four-category ordinal variable) and whether or not consumers are aware that Firestone is a brand of tires?"