Exam 24: Using Statistics to Predict

A researcher is studying stress and various factors that seem to be related to it, in women with terminally ill spouses. Among other things, the researcher finds out that depression contributes to total stress; depression contributes to lack of exercise; exercise contributes to depression; exercise relieves stress; guilt contributes to depression; exercise has no effect on guilt, but it affects total stress; stress worsens depression; and stress decreases motivation to perform exercise. This is an example of what problem commonly encountered in regression analyses?

Which of the following dependent variables is suitable for logistic regression analysis?

A researcher decides to study how many college freshmen with continuous enrollment graduate within 4, 4.5, 5, 5.5, and 6 years and to analyze this according to what their majors at graduation are, as well as other demographic variables. Why would a Cox proportional hazards regression analysis be suitable for this research?

Why does a researcher decide to use logistic regression instead of linear regression to calculate survival odds after suffering an out-of-hospital heart attack, in persons of various ages, genders, and cardiac diagnoses?

A researcher draws a scatter plot of study data. The researcher develops a multiple regression equation and determines R² as 0.5625. What does the calculated value R² represent?

A researcher collects a nationally based set of data about cholesterol levels and age at first circulatory incident (myocardial infarction or cerebrovascular accident). The researcher performs a linear regression analysis, in order to do which of the following?

Which of the following terms in correlational research mean the same thing?

Which of the following statements about prediction is true?

What is a multiple regression equation?

A researcher conducts research on optimism. The researcher is calculating a multiple regression equation to predict levels of optimism and wishes to consider religious affiliation as one of the predictor variables. The researcher creates several dummy variables, for this purpose. Why must this be done?

A researcher is studying daily carbohydrate intake and the next day's first morning blood glucose monitor value. After drawing a scatter plot, the researcher develops a multiple regression equation. What is does the value R represent?

Why does a researcher decide to calculate odds ratio instead of calculating linear regression, when comparing whether a person voted in the last election, and the person's gender?