Year 1 3 5 7 10 Population 16,763 17,007 17,226 17,418 17,639 Determine a model for the given data by using quadratic regression. What will be the population in year 12?
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- The poverty level for a family of four, two parents with two children under 18, for selected years from 1990 is shown in the following table. Poverty Threshold for a Family of Four Year 1990 1997 2000 2005 Threshold $14,300 $15,400 $18,800 $20,150 (a) Find the least squares linear regression function for threshold level as a function of years since 1990. (Let x = 0 represent the year 1990. Round your coefficients to one decimal place.) y = (b) Use the linear function to estimate when the poverty threshold level will reach $27,000. (Round your answer down to the nearest year.) The threshold level is estimated to reach $27,000 in the year 2016Tuition($) Applicant Pool Applicant 950 76210 11040 1225 78000 10940 1325 67420 8670 1350 70380 9040 1500 62580 7410 1675 59260 7080 1800 57930 6350 1975 60130 6110 a. Using POMQM, develop the multiple regression equation for these data. b. What is the coefficient of determination for this regression equation? c. Determine the forecast for freshman applicants for a tuition rate of $1700 per semester, with a pool of applicants of 63000.BSHM-18 PROBLEM SOLVING. The sales of a company (in million peso) for each year are shown in the table below. x (year) 2015 2016 2017 2018 2019 y (sales) 12 19 29 37 45 a) Give the regression line y = m x+ b) b) Use the simple linear regression line as a model to estimate the sales of the company in 2022. Your answer Next Never subrnit passwords through Google Forms. This form was created inside of Sultan Kudarat State U Renort Abuse
- Directions: Construct a Regression Model for the following data. Year Wage (in dollars) 2000 5.15 2005 5.15 2010 7.25 2016 7.25 U.S. Federal Minimum Wage 1. State your regression model (least-squares line). Make sure you first convert the Year into Years after 2000. y = 2. Use your model to predict the minimum wage for the year 2022. y = dollars 3. Use your model to predict when the minimum wage will reach $10. When During year Rounding: If you do round the numbers in your work, make sure you do it during your last step.A researcher feels that global warming may be reducing average rainfall in Perlis for the past 10 years. The researcher is interested in making predictions for future rainfall. The 10 years data of the rainfall in Perlis is shown in Table 4. Table 4 Year Amount (cm) 2009 40 2010 39 2011 41 2012 29 2013 32 2014 30 2015 15 2016 10 2017 11 2018 20 (a) Without using any software, construct a simple linear regression model for the above data. (b) Predict the rainfall for the year 2019 and 2020.Cample 15.8) A company wants to assess the impact of R&D expenditure on annual profits. The fol- lowing table gives the information for 8 years: Year R&D Expenditure ('000 Rs) Annual Profit (C'000 Rs) 1993 9 45 1994 42 1995 41 1996 60 1997 30 1998 34 1999 25 2000 20 Estimate the regression equation and predict the annual profit for the year 2002 for an allocated sum of Rs 15,000 as R&D expenditure. O750 4532
- 4-25 The total expenses of a hospital are related to many factors. Two of these factors are the number of beds in the hospital and the number of admissions. Data were collected on 14 hospitals, as shown in the following table: HOSPITAL NUMBER OF BEDS ADMISSIONS (100s) TOTAL EXPENSES ($1,000,000s) 1 215 77 57 2 336 160 127 520 230 157 135 43 24 35 9. 14 6. 210 155 93 3.. Extent of Arctic Sea Ice The National Snow and Ice Data Center monitors the amount of ice in the Arctic year round. The table below gives approximate values for the sea ice extent in millions of square kilometers from 1986 to 2012, in two-year intervals. (a) Make a scatter plot of the data. (b) Find and graph the regression line. (c) Use the linear model in part (b) to estimate the ice extent in the year 2016. Ice extent Ice extent Year (million km?) Year (million km?) 1986 7.5 2000 6.3 1988 7.5 2002 6.0 1990 6.2 2004 6.0 1992 7.5 2006 5.9 1994 7.2 2008 4.7 1996 7.9 2010 4.9 1998 6.6 2012 3.6 Source: National Snow and Ice Data Center46. Table 1.3 lists the ages and weights of nine girls. TABLE 1.3 Girls' Ages and Weights Age (months) Weight (pounds) 22 19 23 21 24 25 27 28 29 31 31 28 34 32 38 34 43 39 (a) Find the linear regression equation for the data. (b) Find the slope of the regression line. What does the slope represent? (c) Superimpose the graph of the linear regression equation on a scatter plot of the data. (d) Use the regression equation to predict the approximate weight of a 30-month-old girl..
- Solve the given problem. Show solutions if solved manually or show the Excel computation results. PROBLEM : The amount spent on medical expenses per day is correlated with other health factors for 5 adult males. A study came up with the following table: Medical amount spent for alcohol cost 2100 weight 185 Age 50 200 2378 250 200 42 1657 2584 175 225 100 37 200 54 32 2658 250 220 Which of the following factors has a significant effect on medical expenses? Create the regression equation for the problem.[Simple Linear Regression] How do you solve this?he table shows the minimum wage rates for the United States during different years. Year 1978 1979 1980 1990 1991 1996 1997 2007 2008 2009 Minimum hourly wage ($) 2.65 2.90 3.35 3.80 4.25 4.75 5.15 5.85 6.55 7.25 Write the least squares regression equation that models the data. Let x = time in years since 1900 and let y = minimum hourly wage. Use the equation to estimate the minimum hourly wage of a U.S. worker in 2025. Show your work. Answer: