Data were collected on Job Growth (%) and Industry in an attempt to develop a model to predict Turnover Rate in a sample of 22 firms from the high tech (Industry = 1) and the financial services sector (Industry = 0).  Based on the output provided, the predicted turnover rate for a firm in the financial services sector with a 2% job growth rate is ________________________ .  

Selling price and amount spent advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales.  The correct null and alternative hypotheses for testing the regression coefficient of Price is _______________________.

A multiple regression model was fit to data investigating what factors affect the size of company bonuses including number of employees and whether or not the employees were unionized (1 = yes, 0 = no).  The regression coefficient of Union is 1259.5.  The correct interpretation of this value is that, for unionized companies compared to non-unionized companies of the same size (same number of employees), on average the annual average bonus is ________________________ .

A diagnostic measure used to identify influential cases that may have greatly affected multiple regression results is ________________________.

Data were collected on the following variables:  turnover rate, job growth, number of employees, and innovative index and fit in a model to explain Turnover Rate.  To check for the possibility of collinearity, a regression among predictor variables job growth and employees predicting a third predictor variable, innovative index, was run and was found to have an R2 = 8.8% and S=319.23. The Variance Inflation Factor (VIF) for the predictor variable Employees is ________________________.

A sample of recently trained line workers was selected to determine if there is a relationship between the number of hours of training time received by production line workers and the time it took (in minutes) for them to trouble shoot their last process problem were captured. Using the regression output is shown below, what conclusion should be made at α = .05?  

Before being released to market, a drug company tests a new allergy medication for potential side effects.  A random sample of 160 individuals with allergies was selected for the study.  The new allergy medication was randomly assigned to 80 of them, and another popular allergy medication already on the market (Brand C) was assigned to the rest.  Out of the 80 given the new allergy medication, 14 reported drowsiness; 22 of the 80 taking Brand C reported drowsiness.  The 95% confidence interval for the difference in proportions reporting drowsiness is -.028 to .228.  Which of the following statements is correct?

All else being equal, increasing the level of confidence desired will ________________________ .

Which of the following is not an assumption and/or condition required for constructing a confidence interval for the proportion?

When using a plot of residuals (y-axis) vs. fitted value of the dependent variable, a plot with no pattern indicates that the: