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x-y=2
x+y=10
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add eq 1 to eq2,
x-y+x+y =12
2x = 12
x=6
plug x = 6 into x-y =2
y =x-2 = 4
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statistics for nursing research
Details: Complete Exercise 18 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as d ...
statistics for nursing research
Details: Complete Exercise 18 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor. Name:____________________________________________ Class: ____________________ Date: _________________________________________________________________________________ □ EXERCISE 18 Questions to be Graded 1.Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (–53.68, 64.64), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. 2.Which of the following values from Table 1 tells us about variability of the scores in a distribution? a.60.22 b.11.94 c.22.57 d.53.66 3.Assuming that the distribution for General Health Perceptions is normal, 95% of the females’ scores around the mean were between what values? Round your answer to two decimal places. 4.Assuming that the distribution of scores for Pain is normal, 95% of the men's scores around the mean were between what two values? Round your answer to two decimal places. 5.Were the body image scores significantly different for women versus men? Provide a rationale for your answer. 6.Assuming that the distribution of Mental Health scores for men is normal, where are 99% of the men's mental health scores around the mean in this distribution? Round your answer to two decimal places. 7.Assuming that the distribution of scores for Physical Functioning in women is normal, where are 99% of the women's scores around the mean in this distribution? Round your answer to two decimal places. 8.Assuming that the distribution of scores is normal, 99% of HIV-positive body image scores around the mean were between what two values? Round your answer to two decimal places. 9.Assuming that the distribution of scores for Role Functioning is normal, 99% of the men's scores around the mean were between what values? Round your answer to two decimal places. 10.What are some of the limitations of this study that decrease the potential for generalizing the findings to the target population? (Grove 137-138) Grove, Susan K. Statistics for Health Care Research: A Practical Workbook. W.B. Saunders Company, 022007. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use. Excise 33 Use MS Word to complete "Questions to be Graded: Exercise 33" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate. Name:____________________________________________ Class: ____________________ Date: _________________________________________________________________________________ □ EXERCISE 33 Questions to be Graded 1.What is the mean difference from baseline to week 24 for total cholesterol? 2.What is the mean difference from baseline to week 24 for bicarbonate? 3.Between what two numbers does the true mean for triglycerides exist 95% of the time, which is the 95% confidence interval (CI)? 4.Between what two numbers does the true mean for creatinine exist 95% of the time, which is the 95% confidence interval (CI)? 5.Did the HDL cholesterol value change significantly from baseline to week 24? Is this result clinically significant? 6.In a study, the sample size was N = 150, SD = 9, and the mean = 48. Calculate the SEM and the 95th confidence interval for this study. 7.In Table 2, which parameter or variable has the smallest confidence interval? 8.The Atkins Center provided funding and training for the research staff. Would this have an effect on the outcomes of this study? Provide a rationale for your answer. 9.In this study, 51 subjects were enrolled, but only 41 completed it. Identify some possible reasons for the sample mortality of 10 subjects. 10.This was an uncontrolled study. Identify ways to improve the control of the study and thus strengthen the study design. (Grove 247-250) Grove, Susan K. Statistics for Health Care Research: A Practical Workbook. W.B. Saunders Company, 022007. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use.
Business Research Project
Is there a relationship between the sales of a product and the longevity of the product’s display with the type of mater ...
Business Research Project
Is there a relationship between the sales of a product and the longevity of the product’s display with the type of material used and time period of the display?
Determining a Linear Correlation, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the befo ...
Determining a Linear Correlation, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876. Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?Comment on your classmates postings by comparing and contrasting your results.
Homework Assignment 6
The data in the table below is from a study conducted by an insurance company to determine the effect of changing the proc ...
Homework Assignment 6
The data in the table below is from a study conducted by an insurance company to determine the effect of changing the process by which insurance claims are approved. The goal was to improve policyholder satisfaction by speeding up the process and eliminating some non-value-added approval steps in the process. The response measured was the average time required to approve and mail all claims initiated in a week. The new procedure was tested for 12 weeks, and the results were compared to the process performance for the 12 weeks prior to instituting the change. Table: Insurance Claim Approval Times (days) Old Process New Process Week Elapsed Time Week Elapsed Time 1 31.7 13 24 2 27 14 25.8 3 33.8 15 31 4 30 16 23.5 5 32.5 17 28.5 6 33.5 18 25.6 7 38.2 19 28.7 8 37.5 20 27.4 9 29 21 28.5 10 31.3 22 25.2 11 38.6 23 24.5 12 39.3 24 23.5 Use the date in table above and answer the following questions in the space provided below: What was the average effect of the process change? Did the process average increase or decrease and by how much?Analyze the data using the regression model y = b0 + b1x, where y = time to approve and mail a claim (weekly average), x = 0 for the old process, and x = 1 for the new process. How does this model measure the effect of the process change? How much did the process performance change on the average? (Hint: Compare the values of b1 and the average of new process performance minus the average of the performance of the old process.)
Chapter questions
You need to show all the work/steps, partial credit will be provided. Submitting just the answers (even if they are correc ...
Chapter questions
You need to show all the work/steps, partial credit will be provided. Submitting just the answers (even if they are correct) does not provide for any partial credit.please answer the attached question based on our book.Quantitative Analysis for Management (12th Edition)Render, Barry
GB 513 UOPX Unit 6 Real World Situations Business Analytics PPT & Excel Sheet
In this assignment, you will be assessed based on the following outcomes: GB513-4: Evaluate real-world situations and pres ...
GB 513 UOPX Unit 6 Real World Situations Business Analytics PPT & Excel Sheet
In this assignment, you will be assessed based on the following outcomes: GB513-4: Evaluate real-world situations and present solutions using statistical methods. PC-6.1: Incorporate data, inferences, and reasoning to solve problems. This assignment has two parts. Part 1 has questions about forecasting, you will submit your answers to part 1 using the Unit 6 Assignment template (see attached). You still need to submit the Excel file you used to generate your answers, in addition to the report in Word. Part 2, requires you to analyze a case, you will prepare a PowerPoint presentation to present your findings. See further instructions below under “Part 2-Case Analysis” for more details.Part 1 – Forecasting Answer the following three questions using the template provided. Question 1 A store managers wishes to forecast the weekly number of television sets sold. Calculate the error for each of the following forecasts, the MAD and the MSE. Be sure to show the entire table in the work area of the template. Period Value Forecast Error 1202 — — 2191 202 3173 192 4169 181 5171 174 6175 172 7182 174 8196 179 9204 189 10 219 198 11 227 211 Question 2 The data below shows the number of goods manufactured in one year. ($ billion). Calculate forecasts for years 6 through 13 using a 5-year moving average. Then, calculate forecasts for years 6 through 13 using a 5-year weighted moving average. Weight the most recent year by 6, the previous year by 4, the year before that by 2, and the other years by 1. Be sure to show the entire table in the work area of the template.Answer the following questions: a)What is the forecast for year 13 based on the 5-year moving average? b)What is the forecast for year 13 based on the 5-year weighted moving average? c)What is the MAD for the moving average forecast?d)What is the MAD for the weighted moving average forecast? Which forecasting model that you calculated is better? Why?What is the average rating for all CBC movies? How about ABN movies and BBS movies? Comment how the networks are performing, using the metrics in the table. Your analysis should extend beyond simply comparing the average ratings for each network. What are the null and alternative hypotheses (state in full sentences)? What is your recommendation to the executives? Justify your answer referring to the relevant figures. Which dependent variable contributes more when determining a movie’s rating: Being fact-based or having one star? How much does each of these factors change the ratings? How well does this regression analysis explain the ratings? Justify your answers referring to the relevant figures. Are either, both, or neither of the independent variables significantly related to the ratings at 95% confidence? Justify your answers referring to the relevant figures. Year Factory orders 1 2,512.70 2 2,739.20 3 2,874.90 4 2,934.10 5 2,865.70 6 2,978.50 7 3,092.40 8 3,052.60 9 3,145.20 10 3,114.10 11 3,257.40 12 3,654.00 13 Question 3 The “Economic Report to the President of the United States” included data on the amounts of manufacturers’ new and unfilled orders in millions of dollars. Shown here are the figures for new orders over a 21-year period. Use the charting tool in Excel to develop a regression model to fit the trend effects for the data. Use a linear model and then try a polynomial (order 2) model. Make sure the charts show the line formula and the r-squared value. Include both charts in your report. Then, answer the following question: ● How well does either model fit the data? Which model should be used for forecasting? Explain using the relevant metrics. Year Total Number of New Orders1 55,022 2 55,921 3 64,182 4 76,003 5 87,327 6 85,139 7 99,513 8 115,109 9 116,251 10 121,547 11 123,321 12 141,200 13 162,140 14 168,420 15 171,250 16 176,355 17 195,204 18 209,389 19 237,025 20 272,544 21 293,475 Part 2 – Case Analysis To answer Part 2, you will prepare a PowerPoint presentation to present your findings. Make sure you also submit the Excel file to show your work for Part 2. You will receive a 100 point reduction if you fail to include the Excel file showing your work for Part 2. Place all calculations for each of the questions on a separate worksheet. Then, using the results of your work from Excel, prepare PowerPoint slides to answer the questions in a presentation format. All relevant content should be on the slides; do not use the notes section or leave information in the Excel file. The executives reviewing the presentation should not need to switch to another document to see the required information. The data you need is provided to you in the Unit 6 Excel file in Course Documents. Make sure to use that file. Do not type anything in manually or download anything from the Internet. You will be analyzing the “Colonial Broadcasting” case in the course pack that you bought at the beginning of the course. Begin by reading the description in the case. Then, answer the questions listed below, NOT the questions listed in the case. Ignore everything in the case document after the end of page 4. The executives at CBC want to see how they are doing in ratings against the other networks and how the ratings will continue to change in the upcoming months. They also want to know if hiring stars makes a difference and the impact of fact-based programming compared to hiring stars. Remember that your audience is the management of CBC. Therefore, make sure your presentation is professional and provides sufficient explanation. 1.Answer the following questions: b.Include a table that shows the average and the other descriptive statistics (using the data analysis tool pack in Excel) for the ratings of the three networks (one column for each network). Explain what you learn from each of the metrics in the table. 2.Create a line graph of the monthly average ratings for CBC for the year. Note that there are multiple ratings data for the months; you will need to calculate an average for each month first, and then plot the averages. After you create the graph, fit a linear trend line, displaying the formula and the r-squared. Explain to the executives if you can use this time series data to forecast the ratings of upcoming months. How accurate can you expect this forecast to be? 3.Should the CBC hire stars for their movies? To answer this question, run a hypothesis test to see if there is a significant difference between the ratings of movies with stars versus movies without stars. Use the data for CBC movies only. Use 95% confidence. Answer the following: b.Run the test using Excel and include the output table. Use a t-test assuming equal variances. 4.Run a multiple regression where the dependent variable is ratings and the independent variables are star and fact. Use data from CBC only. CBC Management has several questions: Directions for Submitting your Assignment: Be sure to complete the Unit 6 Assignment template. Submit your assignment to the Unit 6 AssignmentDropbox. Unit 6 Assignment ContentPoints Possible Points Earned Part 1 - Forecasting Question 1 Provided the MAD. 5 Question 1 Provided the MSE. 5 Question 2a Correct forecast for year 13 using a 5-year moving average. 5 Question 2b Correct forecast for year 13 using a 5-year weighted moving average. 5 Question 2c Correct MAD for moving average forecast. 5 Question 2d Correct MAD for weighted moving average forecast. 5 Question 2e Recommended the better model with justification. 5 Question 3 Used Excel charting to fit a linear trendline, including the formula and r-squared. 5 Question 3 Used Excel charting to fit a polynomial trendline, including the formula and r-squared. 5 Question 3 Recommended the better model with justification. 5 Part 2 – Case Analysis Question 1 Correct average rating for all three networks. 10 Question 1 Correct table showing the average and other descriptive statistics for the ratings of the three networks, using one column for each network. 10 Question 1 Appropriate explanation and analysis of what is learned from each of the metrics in the descriptive statistics table. 20 Question 2 Correct line graph using the calculated average monthly ratings of CBC for the year, showing r-squared and the formula. 20 Question 2 Summary to executives regarding whether the linear forecast can be used to project ratings, including an assessment of how accurate the forecast can be expected to be. 20 Question 3 Correct null and alternative hypotheses stated in full sentences. 20 Question 3 Accurate hypothesis test results. 20 Question 3 Correct recommendation and justification for whether CBC should hire stars. 20 Question 4 Correct figures and explanation of how much contribution each independent variable makes when determining a movie’s rating: 20 Question 4 Correct figures and explanation of how well this regression analysis explains the ratings. 20 Question 4 Correct figures, accurate identification and justification of which variables are significantly related to ratings. 20 PowerPoint is formatted appropriately and communicated clearly. 50 Total300
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statistics for nursing research
Details: Complete Exercise 18 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as d ...
statistics for nursing research
Details: Complete Exercise 18 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor. Name:____________________________________________ Class: ____________________ Date: _________________________________________________________________________________ □ EXERCISE 18 Questions to be Graded 1.Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (–53.68, 64.64), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. 2.Which of the following values from Table 1 tells us about variability of the scores in a distribution? a.60.22 b.11.94 c.22.57 d.53.66 3.Assuming that the distribution for General Health Perceptions is normal, 95% of the females’ scores around the mean were between what values? Round your answer to two decimal places. 4.Assuming that the distribution of scores for Pain is normal, 95% of the men's scores around the mean were between what two values? Round your answer to two decimal places. 5.Were the body image scores significantly different for women versus men? Provide a rationale for your answer. 6.Assuming that the distribution of Mental Health scores for men is normal, where are 99% of the men's mental health scores around the mean in this distribution? Round your answer to two decimal places. 7.Assuming that the distribution of scores for Physical Functioning in women is normal, where are 99% of the women's scores around the mean in this distribution? Round your answer to two decimal places. 8.Assuming that the distribution of scores is normal, 99% of HIV-positive body image scores around the mean were between what two values? Round your answer to two decimal places. 9.Assuming that the distribution of scores for Role Functioning is normal, 99% of the men's scores around the mean were between what values? Round your answer to two decimal places. 10.What are some of the limitations of this study that decrease the potential for generalizing the findings to the target population? (Grove 137-138) Grove, Susan K. Statistics for Health Care Research: A Practical Workbook. W.B. Saunders Company, 022007. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use. Excise 33 Use MS Word to complete "Questions to be Graded: Exercise 33" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate. Name:____________________________________________ Class: ____________________ Date: _________________________________________________________________________________ □ EXERCISE 33 Questions to be Graded 1.What is the mean difference from baseline to week 24 for total cholesterol? 2.What is the mean difference from baseline to week 24 for bicarbonate? 3.Between what two numbers does the true mean for triglycerides exist 95% of the time, which is the 95% confidence interval (CI)? 4.Between what two numbers does the true mean for creatinine exist 95% of the time, which is the 95% confidence interval (CI)? 5.Did the HDL cholesterol value change significantly from baseline to week 24? Is this result clinically significant? 6.In a study, the sample size was N = 150, SD = 9, and the mean = 48. Calculate the SEM and the 95th confidence interval for this study. 7.In Table 2, which parameter or variable has the smallest confidence interval? 8.The Atkins Center provided funding and training for the research staff. Would this have an effect on the outcomes of this study? Provide a rationale for your answer. 9.In this study, 51 subjects were enrolled, but only 41 completed it. Identify some possible reasons for the sample mortality of 10 subjects. 10.This was an uncontrolled study. Identify ways to improve the control of the study and thus strengthen the study design. (Grove 247-250) Grove, Susan K. Statistics for Health Care Research: A Practical Workbook. W.B. Saunders Company, 022007. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use.
Business Research Project
Is there a relationship between the sales of a product and the longevity of the product’s display with the type of mater ...
Business Research Project
Is there a relationship between the sales of a product and the longevity of the product’s display with the type of material used and time period of the display?
Determining a Linear Correlation, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the befo ...
Determining a Linear Correlation, statistics homework help
In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876. Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?Comment on your classmates postings by comparing and contrasting your results.
Homework Assignment 6
The data in the table below is from a study conducted by an insurance company to determine the effect of changing the proc ...
Homework Assignment 6
The data in the table below is from a study conducted by an insurance company to determine the effect of changing the process by which insurance claims are approved. The goal was to improve policyholder satisfaction by speeding up the process and eliminating some non-value-added approval steps in the process. The response measured was the average time required to approve and mail all claims initiated in a week. The new procedure was tested for 12 weeks, and the results were compared to the process performance for the 12 weeks prior to instituting the change. Table: Insurance Claim Approval Times (days) Old Process New Process Week Elapsed Time Week Elapsed Time 1 31.7 13 24 2 27 14 25.8 3 33.8 15 31 4 30 16 23.5 5 32.5 17 28.5 6 33.5 18 25.6 7 38.2 19 28.7 8 37.5 20 27.4 9 29 21 28.5 10 31.3 22 25.2 11 38.6 23 24.5 12 39.3 24 23.5 Use the date in table above and answer the following questions in the space provided below: What was the average effect of the process change? Did the process average increase or decrease and by how much?Analyze the data using the regression model y = b0 + b1x, where y = time to approve and mail a claim (weekly average), x = 0 for the old process, and x = 1 for the new process. How does this model measure the effect of the process change? How much did the process performance change on the average? (Hint: Compare the values of b1 and the average of new process performance minus the average of the performance of the old process.)
Chapter questions
You need to show all the work/steps, partial credit will be provided. Submitting just the answers (even if they are correc ...
Chapter questions
You need to show all the work/steps, partial credit will be provided. Submitting just the answers (even if they are correct) does not provide for any partial credit.please answer the attached question based on our book.Quantitative Analysis for Management (12th Edition)Render, Barry
GB 513 UOPX Unit 6 Real World Situations Business Analytics PPT & Excel Sheet
In this assignment, you will be assessed based on the following outcomes: GB513-4: Evaluate real-world situations and pres ...
GB 513 UOPX Unit 6 Real World Situations Business Analytics PPT & Excel Sheet
In this assignment, you will be assessed based on the following outcomes: GB513-4: Evaluate real-world situations and present solutions using statistical methods. PC-6.1: Incorporate data, inferences, and reasoning to solve problems. This assignment has two parts. Part 1 has questions about forecasting, you will submit your answers to part 1 using the Unit 6 Assignment template (see attached). You still need to submit the Excel file you used to generate your answers, in addition to the report in Word. Part 2, requires you to analyze a case, you will prepare a PowerPoint presentation to present your findings. See further instructions below under “Part 2-Case Analysis” for more details.Part 1 – Forecasting Answer the following three questions using the template provided. Question 1 A store managers wishes to forecast the weekly number of television sets sold. Calculate the error for each of the following forecasts, the MAD and the MSE. Be sure to show the entire table in the work area of the template. Period Value Forecast Error 1202 — — 2191 202 3173 192 4169 181 5171 174 6175 172 7182 174 8196 179 9204 189 10 219 198 11 227 211 Question 2 The data below shows the number of goods manufactured in one year. ($ billion). Calculate forecasts for years 6 through 13 using a 5-year moving average. Then, calculate forecasts for years 6 through 13 using a 5-year weighted moving average. Weight the most recent year by 6, the previous year by 4, the year before that by 2, and the other years by 1. Be sure to show the entire table in the work area of the template.Answer the following questions: a)What is the forecast for year 13 based on the 5-year moving average? b)What is the forecast for year 13 based on the 5-year weighted moving average? c)What is the MAD for the moving average forecast?d)What is the MAD for the weighted moving average forecast? Which forecasting model that you calculated is better? Why?What is the average rating for all CBC movies? How about ABN movies and BBS movies? Comment how the networks are performing, using the metrics in the table. Your analysis should extend beyond simply comparing the average ratings for each network. What are the null and alternative hypotheses (state in full sentences)? What is your recommendation to the executives? Justify your answer referring to the relevant figures. Which dependent variable contributes more when determining a movie’s rating: Being fact-based or having one star? How much does each of these factors change the ratings? How well does this regression analysis explain the ratings? Justify your answers referring to the relevant figures. Are either, both, or neither of the independent variables significantly related to the ratings at 95% confidence? Justify your answers referring to the relevant figures. Year Factory orders 1 2,512.70 2 2,739.20 3 2,874.90 4 2,934.10 5 2,865.70 6 2,978.50 7 3,092.40 8 3,052.60 9 3,145.20 10 3,114.10 11 3,257.40 12 3,654.00 13 Question 3 The “Economic Report to the President of the United States” included data on the amounts of manufacturers’ new and unfilled orders in millions of dollars. Shown here are the figures for new orders over a 21-year period. Use the charting tool in Excel to develop a regression model to fit the trend effects for the data. Use a linear model and then try a polynomial (order 2) model. Make sure the charts show the line formula and the r-squared value. Include both charts in your report. Then, answer the following question: ● How well does either model fit the data? Which model should be used for forecasting? Explain using the relevant metrics. Year Total Number of New Orders1 55,022 2 55,921 3 64,182 4 76,003 5 87,327 6 85,139 7 99,513 8 115,109 9 116,251 10 121,547 11 123,321 12 141,200 13 162,140 14 168,420 15 171,250 16 176,355 17 195,204 18 209,389 19 237,025 20 272,544 21 293,475 Part 2 – Case Analysis To answer Part 2, you will prepare a PowerPoint presentation to present your findings. Make sure you also submit the Excel file to show your work for Part 2. You will receive a 100 point reduction if you fail to include the Excel file showing your work for Part 2. Place all calculations for each of the questions on a separate worksheet. Then, using the results of your work from Excel, prepare PowerPoint slides to answer the questions in a presentation format. All relevant content should be on the slides; do not use the notes section or leave information in the Excel file. The executives reviewing the presentation should not need to switch to another document to see the required information. The data you need is provided to you in the Unit 6 Excel file in Course Documents. Make sure to use that file. Do not type anything in manually or download anything from the Internet. You will be analyzing the “Colonial Broadcasting” case in the course pack that you bought at the beginning of the course. Begin by reading the description in the case. Then, answer the questions listed below, NOT the questions listed in the case. Ignore everything in the case document after the end of page 4. The executives at CBC want to see how they are doing in ratings against the other networks and how the ratings will continue to change in the upcoming months. They also want to know if hiring stars makes a difference and the impact of fact-based programming compared to hiring stars. Remember that your audience is the management of CBC. Therefore, make sure your presentation is professional and provides sufficient explanation. 1.Answer the following questions: b.Include a table that shows the average and the other descriptive statistics (using the data analysis tool pack in Excel) for the ratings of the three networks (one column for each network). Explain what you learn from each of the metrics in the table. 2.Create a line graph of the monthly average ratings for CBC for the year. Note that there are multiple ratings data for the months; you will need to calculate an average for each month first, and then plot the averages. After you create the graph, fit a linear trend line, displaying the formula and the r-squared. Explain to the executives if you can use this time series data to forecast the ratings of upcoming months. How accurate can you expect this forecast to be? 3.Should the CBC hire stars for their movies? To answer this question, run a hypothesis test to see if there is a significant difference between the ratings of movies with stars versus movies without stars. Use the data for CBC movies only. Use 95% confidence. Answer the following: b.Run the test using Excel and include the output table. Use a t-test assuming equal variances. 4.Run a multiple regression where the dependent variable is ratings and the independent variables are star and fact. Use data from CBC only. CBC Management has several questions: Directions for Submitting your Assignment: Be sure to complete the Unit 6 Assignment template. Submit your assignment to the Unit 6 AssignmentDropbox. Unit 6 Assignment ContentPoints Possible Points Earned Part 1 - Forecasting Question 1 Provided the MAD. 5 Question 1 Provided the MSE. 5 Question 2a Correct forecast for year 13 using a 5-year moving average. 5 Question 2b Correct forecast for year 13 using a 5-year weighted moving average. 5 Question 2c Correct MAD for moving average forecast. 5 Question 2d Correct MAD for weighted moving average forecast. 5 Question 2e Recommended the better model with justification. 5 Question 3 Used Excel charting to fit a linear trendline, including the formula and r-squared. 5 Question 3 Used Excel charting to fit a polynomial trendline, including the formula and r-squared. 5 Question 3 Recommended the better model with justification. 5 Part 2 – Case Analysis Question 1 Correct average rating for all three networks. 10 Question 1 Correct table showing the average and other descriptive statistics for the ratings of the three networks, using one column for each network. 10 Question 1 Appropriate explanation and analysis of what is learned from each of the metrics in the descriptive statistics table. 20 Question 2 Correct line graph using the calculated average monthly ratings of CBC for the year, showing r-squared and the formula. 20 Question 2 Summary to executives regarding whether the linear forecast can be used to project ratings, including an assessment of how accurate the forecast can be expected to be. 20 Question 3 Correct null and alternative hypotheses stated in full sentences. 20 Question 3 Accurate hypothesis test results. 20 Question 3 Correct recommendation and justification for whether CBC should hire stars. 20 Question 4 Correct figures and explanation of how much contribution each independent variable makes when determining a movie’s rating: 20 Question 4 Correct figures and explanation of how well this regression analysis explains the ratings. 20 Question 4 Correct figures, accurate identification and justification of which variables are significantly related to ratings. 20 PowerPoint is formatted appropriately and communicated clearly. 50 Total300
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