# Question: Suppose Consumer Reports would like to investigate the linear relationship

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.

**View Solution:**## 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