1 4 points A researcher set up a regression model predicting wellbeing based on social support. The equation for the regression model was y = 3.2 + 1.4X, + e Match the following parts of the equation with what they represent. Most response options are used twice! **Please note that I used e in place of e because I can't type the Greek letter in the matching questions below! the difference between an individual's actual outcome value and predicted outcome value X error 3.2 predictor value e y outcome value 1.4 the predicted value for an individual scoring 0 on social support V the value by which wellbeing increases for every one-unit increase in social support V the y-intercept V the "b" value or regression coefficient V social support score V wellbeing score V1 point What is the difference between hivariate regression and multivariate regression? Eivariate regressions have two predictors: multivariate regressions have more than one Eivariate regressions use categorical predictors: multivariate regressions use numerical predictors Eivariate regressions have one predictor; multivariate regressions have more than one Bivariate regressions use numerical predictors: multivariate regressions use categorical predictors 3 1 point A regression model is being used to predict overall customer satisfaction with a product based on two things: difficulty level learning to use the product and how useful the product is. The table of coefficients is shown below. Variable Coefficient Intercept 0.45 Difficulty learning .1.02 Usefulness 1.31 If someone rated the difficulty of learning the product as a 5 and the usefulness as a 6, and their actual satisfaction score was a 3, what was their error value? Provide your answer to the nearest hundredth. Type your answer.4 1 point The following table shows the regression coefficients for another model predicting customer satisfaction, this time for using a particular type of software. The researchers are predicting satisfaction based on gender, age, group, whether or not the person has previous experience with similar software, and how many months they've been using the product. Variable Coefficient Intercept 1.34 Gender (ref = man) Woman 0.03 Gender Diverse 0.05 Age Group (ref = 40-49) 20-29 0.51 30-39 0.32 50-59 -02 60-69 .09 Previous experience w/ similar software (ref 0.41 = no) Number of months using product 0.19 What is the predicted satisfaction score for a 35-year-old woman who has never used software like this, and who has been using this software for 5 months? Provide your answer to the nearest hundredth. Type your answer.5 4 points The following table shows the regression coefficients for another model predicting customer satisfaction, this time for using a particular type of software. The researchers are predicting satisfaction based on gender, age, group, whether or not the person has previous experience with similar software, and how many months they've been using the product. Variable Coefficient Intercept 1.34 Gender (ref = man) Woman 0.03 Gender Diverse 0.05 Age Group (ref = 40-49) 20-29 0.51 30-39 0.32 50-59 .02 60-69 .09 Previous experience w/ similar software 0.41 (ref = no) Number of months using product 0.19 USE THE TABLE TO FILL IN THE BLANKS WITH THE FOLLOWING TERMS, SOME OF WHICH MAY BE USED MORE THAN ONCE (USE EXACT SPELLING): . 3 months 4 months do don't . gender diverse people . men women Based on this table, on average, people who type your answer... have previous software experience scored 0.41 units higher on customer satisfaction than people who type your answer. In addition, the table tells us that type your answer. scored 0.03 units higher than type your answer... and type your answer.. scored 0.05 units higher than type your answer.. on customer satisfaction. Further, someone with type your answer.. of experience using this specific product would score 0.9 units higher than someone with type your answer. of experience using the product.16 1 point A regression model is being used to predict overall customer satisfaction with a product based on two things: difficulty level learning to use the product and how useful the product is. The table of coefficients is shown below. Variable Coefficient Intercept 0.45 Difficulty learning -1.02 Usefulness 1.31 If someone rated the difficulty of learning the product as a 2 and the usefulness as a 4, what is their predicted satisfaction score? Provide your answer to the nearest hundredth. Type your