QNT 561 Week 5 Mcgrawhill Questions Latest 2016 Version

QNT 561  Week 5    McgrawHill                 2016  Version             Questions

Chapter 13:

Ex 6) The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year.

a. If we wants to estimate selling price on the basis of the age of car, which variable is thr dependent varialble and which is the independent variable?

b. 1. Determine the correlation coefficient

2. Determine the coefficient of determination.

c. Interpret the correlation coefficient. Does it surprise you that the correlation coefficient is negative?

EX.12) The student Government Association at Middle Carolina University wanted to demonstrate the relationship between the number of beers a student drinks and his or her blood alcohol content (BAC). A random sample of 18 students participated in a study in which participating student was randomly assigned a number of beers, a member of the local sheriff’s office measured their blood alcohol content. The sample information is reported below.

1. Choose scattered diagram best fit data.

2. Fill in the blank below

3. State decision rule.

Ex 14) The following sample observations were randomly selected.

a. Determine the regression equation.

b. Determine the value of Y when X is 7.

Ex 22) The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during last year The regression equation is y=11.18-0.48X, the sample size is 12, and the standard error of the slope is 0.23. Use the .05 significance level. Can we conclude that the slope of the regression line is less than zero?

EX.26) The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during last year.

a) Determine standard error of estimation.

b) Determine the coefficient of determination.

c) Interpret the coefficient of determination

Chapter 14:

Ex 2) Thompson photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualification needed by an operator. Is age a factor? Is the length of service as an operator important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed? X1 = Length of time an employee was in industry X2= Mechanical aptitude test score X3= Prior on-the-job rating X4= Age Performance on the new machine is designated y.

a. What is this equation called?

b. How many dependent and independent variable are there?

c. What is the number 0.286 called?

d. As age increases by one year, how much does estimated performance on the new machine increase? e. Carl Knox applied for job at photo works? He has been in business for 6 yrs and scored 280 on the mechanical aptitude test Carl’s prior on-the-job performance rating is 97, and he is 35 years old

Ex 6) Consider the ANOVA table that follows

a.1. Determine the standard error of estimate

a.2. About 95% of the residuals will be between what two values?

b.1. Determine the coefficient of multiple determination.

b.2. Determine the percentage variation for the independent variables.

c. Determine the coefficient of multiple determinations, adjusted for the degree of freedom

Ex 8) The following regression output was obtained from a study of architectural firms. The dependent variables is the total amount of fees in millions of dollars. X1 is the no of architects employed by the company X2 is the no of engineers employed by the company X3 is the no of years involved with health care projects X4 is the no of states in which the firm operates X5 is the percent of the firm’s work that is health care-related

a. Write out the regression equation

b. How large is the sample? How many independent variables are there?

c. 1. State the decision rule for .05 significance level:

2. Compute the value of F statistics

3. Can we conclude that the set of regression coefficients could be different from 0?

d. 1. State the decision rule for .05 significance level:

2. Compute the value of test statistics

3. Which variable you consider eliminating?