# Question

Suppose Consumer Reports would like to investigate the linear relationship between the battery life, in hours, and the screen size, in diagonal inches, of a laptop computer. The following table shows a random sample of eight laptops and the battery life and corresponding screen size of each. These data can also be found in the Excel file battery life. xlsx.

a. Construct a scatter plot for these data.

b. Calculate the slope and the y intercept for the regression equation.

c. Provide an interpretation for the value of the slope.

d. Predict the battery life for a laptop with a 14.5 in. screen size.

e. Calculate the SST.

f. Partition the SST into the SSR and SSE.

a. Construct a scatter plot for these data.

b. Calculate the slope and the y intercept for the regression equation.

c. Provide an interpretation for the value of the slope.

d. Predict the battery life for a laptop with a 14.5 in. screen size.

e. Calculate the SST.

f. Partition the SST into the SSR and SSE.

## Answer to relevant Questions

Answer the following questions using the data from Problem 14.53: a. Calculate the coefficient of determination. b. Using α = 0.05, test the significance of the population coefficient of determination. c. Construct a 95% ...Answer the following questions using the data from Problem 14.56: a. Using α = 0.01, test for the significance of the regression slope. b. Construct a 99% confidence interval for the population slope. c. What conclusions ...Answer the following questions using the data from Problem 14.65: a. Calculate the coefficient of determination. b. Using α = 0.05, test the significance of the population coefficient of determination. c. Construct a 95% ...Answer the following questions based on the data from Problem 14.73. a. Calculate the slope and the y intercept for the regression equation. b. Predict the order size of a 32 year old customer. c. Provide an ...The University of Delaware would like to describe the linear relationship between the grade point average (GPA) and the starting monthly salary of a graduate who earned a business degree from the university. The following ...Post your question

0