Exam 19: Regression

Match each of the following terms with the correct statement. -R²

Rory is researching how much variance in an individual's heart rate changes when giving an impromptu speech as predicted by an individual's level of communication apprehension. Rory gets a coefficient of determination R^2. of .821. What does this mean?

Tika has found that her sum of squares regression = 80 and her sum of squares residual = 10. What is her R value?

Explain the purposes of linear regression.

When conducting a regression, the population variances of the dependent variable are different for all levels of the independent variable.

The typical formula associated with a regression is Y = mx + b. What is this formula for?

When conducting a regression, scores for only the independent variable must be obtained from each participant.

Explain the difference between correlation and regression.

The standard error of estimate provides a measure of how accurately the regression equation predicts independent variable values.

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance. -In the multiple linear regression presented, which variable(s) account for unique variance?

When conducting a regression, cases must represent scores that are independent of each other from one participant to the next participant.

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance. -In the multiple linear regression presented, what was the variance accounted for by the regression model?

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance. -In the multiple linear regression presented, what was the calculated p value for the multiple linear regression?

Explain the purposes of multiple linear regression.

The adjusted R² is a more accurate portrayal of the variance accounted for.

Fatima was writing her results section in an article on organizational coaching and reported the following multiple linear regression result: "A multiple linear regression was utilized using the three domains of organizational coaching (affective, behavioral, and cognitive) as the independent variables and job satisfaction as the dependent variable. The linear combination of the independent variables was significantly related to the degree to which a participant was satisfied with her or his job: F(3, 369) = 61.51, p < .0005. The sample multiple correlation coefficient, R, was .58, which indicates that approximately 34% of the variance of an individual's motivation at work could be accounted for by the linear combination of the independent variables. However, only cognitive coaching (t = 3.33, p < .005, β = .27) and affective coaching (t = 4.39, p < .0005, β = .29) accounted for any of the unique variance." Which of the following statements is false?

Match each of the following terms with the correct statement. -General Linear Model

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance. -In the multiple linear regression presented, what is the calculated R value for the multiple linear regression?

While calculating her regression, Polly finds that her sum of squares regression = 25 and her sum of squares total = 5. What is her R² value?

For the following questions, use the regression results presented below. The independent variables in this study were willingness to communicate, communication apprehension, nonverbal immediacy, and communication competence. The dependent variable was body dysmorphia, a disorder where a person is unhealthily preoccupied with one's physical appearance or specific aspects of one's physical appearance. -In the multiple linear regression presented, which of the following accurately represents the coefficient information for communication apprehension?