Exam 10: Regression Analyses

If another student taking the make-up test did not study at all for the test (just like three other students who took the original test), what grade can we predict that she will receive?

A regression equation cannot be used to predict the value of an outcome variable if:

If a correlation between variables is quite weak why would a researcher not conduct a regression analysis?

In a regression equation, what symbol is used to denote the point where the regression line (if continued) would intercept the y axis?

The terms "simultaneous," "heirarchal," and "stepwise" describe different ways that when conducting multiple linear regression analysis.

In a social work research class, the instructor asked each student how many hours he or she had studied for a test and then compared this (predictor) variable with his or her test grade (the outcome variable). Data analysis produced a high positive correlation and the regression equation Y' = 55 + 6(X). Mark was sick when the exam was given. He studied 5 hours prior to taking the make-up test. What is Mark's predicted grade on the test?

If all of the predictor variables in the previous question had been interval or ratio level and normally distributed, the statistical analysis of choice would have been:

When a potential predictor variable is only nominal level (e.g., marital status), it can still be included in multiple linear regression analysis by the use of:

If a researcher wants to predict the value category of the variable "high school graduation" (yes or no) based upon several predictor variables of different levels of measurement (nominal, ordinal, and interval), she should use a form of:

Marcia also was sick the day of the test. How many hours would we estimate that she would need to study to get a grade of 91 (an A) on the make-up test?

What do statisticians call the estimate of how well a regression line will predict measurements of the outcome variable?

When conducting regression analysis, can the predictor variable and the outcome variable be reversed?

What statistical analysis allows a researcher to predict the value of an interval or ratio level outcome variable from the values of two or more interval or ratio level predictor variables?

What can regression analysis tell the researcher that correlation analysis alone cannot?

In a regression equation, what symbol is used to denote the predicted value of the outcome variable?