1.(a) How does correlation analysis differ from regression analysis? (b) What does a correlation coefficient reveal? (c) State the quick rule for a significant correlation and explain its limitations. (d) What sums are needed to calculate a correlation coefficient? (e) What are the two ways of testing a correlation coefficient f
The following time series data represent the yearly amounts spent on advertising (in millions of dollars) by a large toy company: 33.3, 42.5, 44.9, 47.2, 48.7, 53.1, 46.1, 46.8, 55.2 This series of data begins in year (i.e., time period corresponds to 1994. Using regression analysis, a linear trend line of the form was fi
Please see attachment. The answer to the problem is attached.Please explain step by step how to calculate. A formula( what numbers to take) or can it be dome in excel? if it can what are the steps?
1. Is there a relationship between defect rate and volume? If so, is it positive or negative? 2. Which variable is the independent variable and which is the dependent variable? 3. Write out the regression equation and sketch it on the plot. 4. What percentage of the variability in the defect rate can be explained by di
A) Write the fitted regression equation. (b) State the degrees of freedom for a two- tailed test for zero slope, and use Appendix D to find the critical value at α = .05. (c) What is your conclusion about In the following regression, X = weekly pay, Y = income tax withheld, and n = 35 McDonald's employees. the slope? (d) In
(a) Write the fitted regression equation. (b) State the degrees of freedom for a two-tailed test for zero slope, and find the critical value at alpha = .05. (c) What is your conclusion about the slope? (d) Interpret the 95 percent confidence limits for the slope. (e) Verify that F = t^2 for the slope. (f) In your own words, describe the fit of this regression.
In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks. (a) Write the fitted regression equation. (b) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to find the critical value at alpha = .05. (c) What is your conclusion about the s
12.10 The regression equation NetIncome = 2,277 + .0307 Revenue was fitted from a sample of 100 leading world companies (variables are in millions of dollars). (a) Interpret the slope. (b) Is the intercept meaningful? Explain. (c) Make a prediction of NetIncome when Revenue = 1,000. 12.11 The regression equation HomePrice =
It is thought that the duration of a particular illness is related to the bacterial count of the infecting organism. A random sample of eight patients with the illness have a bacterial count taken on admission to a health care facility, and the duration of their illness is recorded. The results are in the table below. Bacteria
Please help with the following problem. Provide step by step calculations. Using the Graphs menu, make a scatter plot of husband's education against wife's education (variables husbeduc and wifeduc). Edit the chart to draw the regression line and print R². Graph (scatter plot with regression line).
Multiple myeloma or blood plasma cancer is characterized by increased blood vessel formulation in the bone marrow that is a prognostic factor in survival. One treatment approach used for multiple myeloma is stem cell transplantation with the patient's own stem cells. The following data represent the bone marrow microvessel den
The general form of a regression equation with a single independent variable is..... Given a one sample z test, if the critical value of z is 2.58 and the computed value is 2.48, it indicates that hte difference between the sample and population values are.....
Using the attached data, perform a linear regression analysis and then answer the following questions. a. Write the equation for the regression line. b. What is the value for the coefficient of determination (r2)? c. What is the value for the coefficient of correlation? d. Predict the average verbal
Give an example of how regression analysis can be used in your work to make a business decision. Give the dependent and independent variables. Make up data and compute the regression equation. Is it significant at the .05 level?
Bivariate data obtained for the paired variables X and Y are shown below, in the table labeled "sample data." These data are plotted in the scatter plot in fig.1, which also displays the least squares regression line for the data. The equation for this line is Yhat=472.92 - .82X. In the calculations table are calculation invo
(Please see attached) 7.) Sally's Software is growing rapidly and the supplier of the software to a lage area of the country. Sales have grown as shown in the table: Year Sales ($ millions) 1999 1.1 2000 1.5 2001 2 2002 2.4 2003 3.1 a.) Plot the data and add the trend line. b.) Compute t
The hypothesis statement is that there is a relationship between league salaries and the number of wins. Perform a regression hypothesis test on the data - with graphs and tables in Excel. Interpret the results of the regression hypothesis test. I am attaching a spreadsheet with the data sets that contain the wins and the sal
13.3 Refer to the ANOVA table for this regression. (a) State the degrees of freedom for the F test for overall significance. (b) Use Appendix F to look up the critical value of F for α = .05. (c) Calculate the F statistic. Is the regression significant overall? (d) Calculate R2 and R2 adj, showing your formulas clearly.
Instructions for Exercises 12.25-12.27: (a) Use Excel's Tools > Data Analysis > Regression (or MegaStat or MINITAB) to obtain regression estimates. (b) Interpret the 95 percent confidence interval for the slope. Does it contain zero? (c) Interpret the t test for the slope and its p-value. (d) Interpret the F statistic. (e) Ve
12.8 (a) Interpret the slope of the fitted regression Sales = 842 − 37.5 Price. (b) If Price = 20, what is the prediction for Sales? (c) Would the intercept be meaningful if this regression represents DVD sales at Blockbuster? 12.9 (a) Interpret the slope of the fitted regression Home Price = 125,000 + 150 Square Feet.
Instructions for Exercises 12.4-12.6: (a) Make a scatter plot of the data. What does it suggest about the correlation between X and Y? (b) Use Excel, MegaStat, or MINITAB to calculate the correlation coefficient. (c) Use Excel or Appendix D to find t.05 for a two-tailed test. (d) Calculate the t test statistic. (e) Calculate
(a) Choose one category of consumer credit and plot it. (b) Describe the trend (if any) and discuss possible causes. (c) Fit a trend model of your choice. (d) Make a forecast for 2004, using a trend model of your choice. Note: Revolving credit is mostly credit card and home equity loans, while non-revolving credit is for a
Please see attached document with discussion questions and integrating problem. Valerie Smith Managerial Economics 18 January 2009 CHPT 3 AND 4 Chapter 3 question #11 on page 127 11. Suppose that the cross-price elasticity of demand between McIntosch and Golden Delicious apples is 0.8, between apples and apple juice i
Consider the following data that was fitted using a Linear Trend. Period Actual Value Period Number (or)Y (or) X Period 1 10 1 Period 2 11 2 Period 3 9 3 Period 4 12 4 Period 5 13 5 Period 6
1. A multiple regression analysis includes 25 data points and 4 independent variables results in SST = 200 and SSR = 150. the multiple standard error of estimate will be? 2. A professor claimed that the proportions of grades in his classes are the same. A sample of 100 students showed the following frequencies: grade
1) If we do not reject the null hypothesis we conclude that 2) Use excel to perform the regression analysis on the data. What is the regression equation?
If we do not reject the null hypothesis we conclude that; a. there is enough statistical evidence to infer that the alternative hypothesis is true b. there is not enough statistical evidence to infer that the alternative hypothesis is true c. there is enough statistical evidence to infer that the null hypothesis is tru
Interpret the attached graph. 2. Using the graph below, discuss how well you believe the model represents the data. Discuss the impact of that data point that appears at (5000, 3250). What would happen to the line if that point had been at (5000, 1000)? How would that impact the interpretation of the line of regression?
12.4 a. Make a scatter plot. b. Calculate correlation coefficient. c. Calculate coefficient of determination. d. Test the significance of the correlation, r at .05 significant level. Show 5 step analysis. Moviegoer Spending ($) on Snacks Movies Age (X) Spent (Y) 30 2.85 50 6.50 34 1.50 12 6.35 37 6.20 33 6.75 36
Fit a linear trend equation to the following data describing average hourly earnings of US production workers. What is the trend estimate for 2010? Year: 2001 2002 2003 2004 Average Hourly Earnings: $14.53 $14.95 $15.35 $15.67 2. The following date show residential and commercial
For the multiple regression equation y = 100 + 20x1 + 3x2 + 120x3: a. Identify the y-intercept and partial regression coefficients. b. If x1 = 12, x2 = 5, and x3 = 10, what is the estimated value of y? c. If x3 were to increase by 4, what change would be necessary in x2 in order for the estimated value of y to remain uncha
For a set of data, the total variation or sum of squares for y is SST - 143.0 and the error sum of squares is SSE = 24.0. What proportion of the variation in y is explained by the regression equation? 2. A. Determine the least squares regression line and calculate r. B. What proportion of the variability in steel