Chapter 12, Problem 12.79CRP

Compute the least-squares regression line for predicting the 2012 budget from the 2006 budget. Round the slope and y. intercept to at least four decimal places.

The managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through c. E Click the icon to view the monthly data. a. Develop a simple linear regression model between billable hours and overhead costs. Overhead Costs = 5304.4 + (0.0219) × Billable Hours +1 (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the $ symbol in your answers.) Monthly overhead costs and billable hours data Overhead Costs Billable Hours O IT $385,000 3,000 $430,000 4,000 $460,000 5,000 $511,000 6,000 $580,000 7,000 $600,000 8,000 Print Done

Sherry rents long boards. She records the height in cm and length of the board in cm that the customers rented. She notices a fairly linear relationship so she calculates a least squares regression equation for predicting board length from customer height: y=1/3x+1/3 What is the residual of a customer with a height of 155 cm who rents a 51 cm board?

A professor was doing a study on the relationship between the amount of television a person watches per day (in hours) and the person's IQ. The professor found that a linear relationship exists between the two variables and determined the equation of the least squares regression line to be ŷ = -0.4x + 107. Interpret the slope. [ Select ] ( Select ] As a person's IQ increases by 1 point, the amount the person spends watching television increases by 0.4 hours, on average. As a person's IQ increases by 1 point, the amount the person spends watching television decreases by 0.4 hours, on average. As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to increase by 0.4 points, on average. As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to decrease by 0.4 points, on average. Predict the IQ of a person who watches 3 hours of television per day. [ Select] Dexter spends 4 hours watching television per day and has an…

A marketing consultant created a linear regression model to predict the number of units sold by a client based on the amount of money spent on marketing by the client. Which of the following is the best graphic to use to evaluate the appropriateness of the model?

Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model?

Given the data (1,2), (3,6) and (5,14). Use the method of least squares to calculate the estimated regression. coefficients.

A large city hospital conducted a study to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was selected and the following data were collected. Develop a scatter diagram for these data. Does a linear relationship appear reasonable? Explain. Develop the least squares estimated regression equation that relates the distance to work to the number of days absent. Predict the number of days absent for an employee that lives 5 miles from the hospital.

Please help with unanswered questions.  Thank you!