SUMMARY OUTPUT Regression Statistics Multiple R R. Square Adjusted R Square Standard Error Observations 0.864054 0.594544 1.006797
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A: given data n = 25x¯ =4.5s = 1.2α = 0.05claim : μ <5
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- Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…Calculate range and its co-efficient from the following statistical data: Profits ( $ in 000's) 125, 50, 30, 20, 80, 85, 90, 160, 180, 100, 170, 185, 155, 200, 140, 145.The Excel file (Forecasting Assignment Data) contains quarterly motorcycle shipments for Harley-Davidson from 2000 through 2006. Forecast Harley-Davidson quarterly motorcycle shipments for 2007 using winter's method
- To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer's adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with larg given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on adjusted gross income and the average or reasonable amount of itemized deductions follow. Adjusted Gross Income Itemized Deductions ($1,000s) 22 ($1,000) 9.6 27 9.6 32 10.1 48 11.1 65 13.5 85 120 15.7 25.5 (a) Develop a scatter diagram for these data with adjusted gross income as the independent variable. 30 25 20 15 10 5 30 25 20 15 10 5+ 30 25- 20- 15- 10- .. 5- 0 20 40 60 80 100 120 140 Adjusted Gross Income ($1,000s) 0 20 40 60 80 100 120 140 0 Adjusted Gross Income ($1,000s) 20 40 60 80 100 120 140 Adjusted Gross Income ($1,000s) 30 25 20 15 10 5- 0 20 40 60 80 100 Adjusted Gross Income ($1,000s) 120 140 G (b) Use the least squares method to…What type of analysis and descriptive statistics should be conducted to best depict the relationship between the following variables? Also, specify the type of variable in each question ( such as nominal, ordinal, continuous, etc) and which is the independent and dependent variable in each question. 1. how the number of days in the ICU(intensive care unit) differ by renal failure status. 2. the association between the number of days in the ICU and the number of hours in the operating room. 3. the association between the number of days in the ICU and the number of hours on the bypass pump? 4. the association between the number of hours in the operating room and the number of hours on a bypass pump? 4. the relationship between the number of days in the ICU and gender?Your younger brother, a fourth form practical geography student wishes to test whether there could be some relationship between annual visits to a local market by all residents surrounding that market. After a well-designed field study he obtains the following figures: Number of visits per year 21 13 19 18 17 17 14 20 10 11 Residence distance from market (KM) 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 From the information above, what is the dependent variable and what is the explanatory variable? Using (i) above, obtain the regression equation of Yi on Xi. Hence, estimate the residence distance from the market (in KM) if the number of visits are 16 visits Sketch your results in (ii) above. What conclusion can you draw from your sketch?
- ZIMS store sells its products on installments in Karachi. The store decided to investigate the link between the life of the product and the cost. The data collected from store is shown in Table 1.1Table 1.1LIFE OF PRODUCT (Years) COST (Thousand Rupees)3.0 253.5 284.0 324.5 345.0 343.0 305.5 404.5 404.0 423.5 426.0 507.5 508.0 538.5 55a) Plot a scatter chart from the above data.b) Find the equation of the least square regression line in the form ? = ? + ??Given the value of a and b up to 3 decimal places. c) What are the exact interpretations of the estimated regression factors? d) Using your answer of part (b). Find the cost predicted by the regression line for 6.5 year’s life of a product.The National Entrepreneurship and Innovation Programme has initiated a business incubation venture ahead of schedule in the venture lifecycle. Something that must be done is to do a justification for the project. Since very little information is known about the project, the estimates are considered to be rough estimates. The accompanying table is the project manager’s gauge of the income that will occur throughout the following five years: End of Year Cash Flow In (GHC) Cash Flow Out (GHC) 1 0 500,000.00 2 300,000.00 90,000.00 3 400,000.00 100,000.00 4 100,000.00 175,000.00 5 50,000.00 35,000.00 What is the payback period for the project. show workings If the net present value (NPV) for each of the cash flows were calculated at a 10% interest rate, what would the NPV cash flow be at the end of five years? Comment on the feasibility of the project.Assuming the lowest decile of men receive an average of $800/month in Social Security, while the highest decile receive $2200/month in Social Security how much does each receive (on average) during their years in retirement. Use the chart called: Predictive Years of Receiving Social Security Benefits. Also use the born in 1940 data.
- What type of key performance indicators and other information would be appropriate to display on a data dashboard for to assist the Aurora clinic's manager in making daily staffing decisions for the clinic?Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost-estimating purposes, managers use two hours of labor time for the planting of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours).The amount of income spent on housing is an important component of the cost of living. The total costs of housing for homeowners might include mortgage payments, property taxes, and utility costs (water, heat, electricity). An economist selected a sample of 20 homeowners in New England and then calculated these total housing costs as a percent of monthly income, 5 years ago and now. The information is reported below. Is it reasonable to conclude the percent is less now than 5 years ago? Homeowner Five Years Ago Now Homeowner Five Years Ago Now 1 17 % 10 % 11 35 % 32 % 2 20 39 12 16 32 3 29 37 13 23 21 4 43 27 14 33 12 5 36 12 15 44 40 6 43 41 16 44 42 7 45 24 17 28 22 8 19 26 18 29 19 9 49 28 19 39 35 10 49…