Complete the estimated regression equation (to 3 decimals). ŷ = + x b. Compute the residuals (to 2 decimals).
1. Given are the data for two variables, x and y.
a. Compute b_{1} and b_{0} (to 3 decimals). b_{1} Save your time  order a paper!Get your paper written from scratch within the tight deadline. Our service is a reliable solution to all your troubles. Place an order on any task and we will take care of it. You won’t have to worry about the quality and deadlines Order Paper NowComplete the estimated regression equation (to 3 decimals). b. Compute the residuals (to 2 decimals).
c. d. Consider the following three scatter diagrams of the residuals against the independent variable. Which of the following accurately represents the data? 1) 2) 3) Select Scatter diagram #1 Scatter diagram #2 Scatter diagram #3 Item 10 Do the assumptions about the error terms seem to be satisfied?

Top of Form
2.An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation.
a. Compute b_{1} and b_{0} (to 1 decimal). Complete the estimated regression equation (to 1 decimal). b. What is the variable cost per unit produced (to 1 decimal)? What percentage of the variation in total cost can be explained by the production volume (to 1 decimal)? d. The company’s production schedule shows 500 units must be produced next month. What is the estimated total cost for this operation (to the nearest whole number)?

Top of Form
3. The commercial division of a real estate firm is conducting a regression analysis of the relationship between x, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained.
a. How many apartment buildings were in the sample?
b. Write the estimated regression equation (to 2 decimals if necessary).
c. What is the value of s_{b1} (to 4 decimals)?
d. Use the F statistic to test the significance of the relationship at a .05 level of significance.
Compute the F test statistic (to 2 decimals).
What is the pvalue?
What is your conclusion?
e. Predict the selling price of an apartment building with gross annual rents of $60,000 (to 1 decimal).

Top of Form
4. In exercise 5, the following data on x = the number of defective parts found and y = the line speed (feet per minute) for a production process at Brawdy Plastics provided the estimated regression equation = 27.5 – .3x.
Excel File: data1237.xls For these data SSE = 16. Develop a 95% confidence interval for the mean number of defective parts for a line speed of 25 feet per minute (to 4 decimals).

Top of Form
Given are five observations for two variables, x and y.
a. Which of the following scatter diagrams accurately represents the data? 1. 2. 3. Select Scatter diagram #1 Scatter diagram #2 Scatter diagram #3 Item 1 b. What does the scatter diagram indicate about the relationship between the two variables? c. Develop the estimated regression equation by computing the the slope and the y intercept of the estimated regression line (to 1 decimal). d. Use the estimated regression equation to predict the value of y when x = 4 (to 1 decimal).

Leave a Reply
Want to join the discussion?Feel free to contribute!