1. Which of the following is NOT true of simple linear regression? It involves one predictor variable and one outcome variable. It assumes the predictor variable is quantitative and the outcome variable is binary/categorical. It models a linear relationship between the predictor variable and the outcome variable. It assumes that changes in the outcome variable are caused by changes in the predictor variable. 2. Which of the following is true about multiple linear regression analysis? It uses multiple predictor variables to predict variability in an outcome variable. It isolates the unique effects of each predictor variable on the outcome, accounting for the effects of the other predictor variables. It assumes linearity in the relationships between each of the predictor variables and the outcome variable. All of the above. 3. Which of the following represents a multiple regression equation for three predictor variables? =b0+b1y+b2y=bo+b1y+b2y+b3y=bo+b1x+b2x=bo+b1x+b2x+b3x Question 4 ( 1 point) 4. Holy Grounds is a large coffeehouse chain. Given customer service is a key part of its business strategy, its HR analytics team wants to determine if job candidates for barista positions who score high on tests of their emotional intelligence (EI) actually perform better as baristas. They have the hypothesis that baristas who are better able to understand their own emotions and those of others (i.e., who are high on EI) should deliver better customer service than those low in El. A significant relationship between baristas' El scores and job performance ratings would indicate a need for the company to build an El assessment into its hiring process for baristas. Based on sample data collected from existing baristas, the analytics team has found a regression coefficient of .50(p<.05 for the effect of barista el scores on their job performance ratings. what does this indicate now assume that hr analytics team at holy grounds conducts a multiple regression analysis using several variables to predict its baristas in addition emotional intelligence. below are scatterplots showing relationships between two predictor and performance: intelligence college gpa. do plots suggest about coefficients found>