SET 1

2 points Which of the following are benets of using multivariate regression over bivariate regression? Check all that apply. multivariate regression allows you to predict outcome values; bivariate regression does not multivariate regression allows you to use categorical predictors with multiple categories; bivariate regression only allows you to use one binary predictor at a time multivariate regression can account for multiple predictors; bivariate regression can only account for one multivariate regression allows you to use a binary categorical predictor; bivariate regression can only use numerical predictors 2 1 point A researcher used a regression model to test whether there were differences in satisfaction with the local public school system based on race/ethnicity. The possible racial/ethnic categories were: Asian/Pacific Islander (AP) Black/African American (BL) Latinx/Hispanic (LH) Native American/Alaska Native (NA) White; non-Hispanic (WH) Multiple groups (MU) Other, not listed (OT) The equation generated from this was: y = 5.4 +0.8XAP - 2.1XBL - 1.7XNA + 1.3XWH - 0.2xMU +0.1XOT Based on this information, what is the expected score for someone who identifies as Latinx/Hispanic? Type your answer..3 1 point A researcher used a regression model to test whether there were differences in satisfaction with the local public school system based on race/ethnicity. The possible racial/ethnic categories were: Asian/Pacific Islander (AP) Black/African American (BL) Latinx/Hispanic (LH) Native American/Alaska Native (NA) White; non-Hispanic (WH) Multiple groups (MU) Other, not listed (OT) The equation generated from this was: y = 5.4 +0.8XAP - 2.1XBL - 1.7XNA + 1.3XWH - 0.2xMU + 0.1xOT Based on this information, what is the expected score for someone who identifies as Native American or Alaska Native? Type your answer.4 1 point A researcher used a regression model to test whether there were differences in satisfaction with the local public school system based on race/ethnicity. The possible racial/ethnic categories were: Asian/Pacific Islander (AP) Black/African American (BL) Latinx/Hispanic (LH) Native American/Alaska Native (NA) White; non-Hispanic (WH) Multiple groups (MU) Other, not listed (OT) The equation generated from this was: y = 5.4 +0.8XAP - 2.1XBL - 1.7XNA + 1.3XWH - 0.2xMU + 0.1xOT Based on this information, what group did the researcher use as the reference group? C Other, not listed Asian/Pacific Islander Latinx/Hispanic O impossible to determine5 3 points Match the descriptions below with the appropriate terms or statistical tests a categorical variable with only two possible categories this answers the same kind of question as a bivariate regression ANOVA with a binary predictor outcome the variable in a linear regression model that must ALWAYS be reference numerical correlation this answers the same kind of question as a bivariate regression with a numerical predictor two-sample t-test name for the binary category from a categorical variable that is binary variable purposely left OUT of a regression equation this answers the same kind of question as a multivariate regression with one categorical variable split into binary categories1 2 points A researcher examining 6th-8th grade students' perceptions of how safe their schools were ran a regression with the results shown below. Predictors included age (continuous, numeric), gender (three categories--boy, girl, and gender diverse), quality of relationships with peers (measured on a 1-7 Likert scale) and quality of relationships with teachers (measured on the same Likert scale). Standard significance notation is used in the table (*p