year college enrollment percentages for females 1970 25.5 1980 30.3 1990 38.3 2000 45.6 2010 50.5 Find the cubic regression model
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| year | college enrollment percentages for females |
| 1970 | 25.5 |
| 1980 | 30.3 |
| 1990 | 38.3 |
| 2000 | 45.6 |
| 2010 | 50.5 |
Find the cubic regression model
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- Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.98 per slice? Year Pizza Cost Subway Fare CPI 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.152 0.353 1.000 1.251 1.753 2.003 2.254 2.300 2.747 2.997 0.151 0.346 1.000 1.347 1.497 2.004 2.253 2.551 2.747 2.750 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 The regression equation is y=+x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.) The best predicted subway fare when pizza costs $3.98 per slice is $ (Round to the nearest cent as needed.)Use the linear regression models above to answer this question. There are two break-even points. Find the smaller production level where the company breaks even. Round to the nearest treadmill. treadmills attached ss thanksWedding Cost Attendance 62700 300 50000 350 47000 150 43000 200 35000 250 32500 150 28000 250 28000 300 26000 250 26000 200 25000 150 25000 200 22000 200 22000 200 20000 200 20000 200 19000 100 18000 150 18000 200 18000 150 17000 100 12000 100 12000 150 6000 50 3000 50 Interpret the Y-intercept of the regression equation. Choose the correct answer below. A. It is not appropriate to interpret the Y-intercept because it is outside the range of observed wedding costs. B. The Y-intercept indicates that a wedding with a cost of $0 has a mean predicted attendance of b 0b0 people. C. It is not appropriate to interpret the Y-intercept because it is outside the range of observed attendances. D. The Y-intercept indicates that a wedding with an attendance of 0 people has a mean predicted cost of $b 0b0. Part 4 Identify and interpret the meaning of the coefficient of determination in this problem.…
- The table shows the percents x and numbers y (in millions) of women in the work force for selected years. T 1970 1975 1980 1985 1990 1995 2000 2005 Percent, x 43.3 46.3 51.5 54.5 57.5 58.9 59.9 59.3 Number, y 31.5 37.5 45.5 51.1 56.8 60.9 66.3 69.3 Year (a) Use the regression capabilities of a graphing utility to find the least squares regression line for the data. (Round your coefficients to two decimal places) YM (b) According to this model, approximately how many women enter the labor force for each one-point increase in the percent of women in the labor force? (Round your answer to two decimal places.) million womenPlease choice the correct answerUse the cubic regression model above to answer this question. Predict the percentage of female high school graduates in 2035. Round to the nearest tenth (1 decimal place). _________% Predict instantaneous rate of change of the percentage of female high school graduates in 2014. Round to the nearest hundredth (2 decimal places).____________% per year
- Tuition($) 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. CAN YOU SHOW ME ALL THE ANSWER WİTH EXCELL TABLEneed help with followingleast-squares linear regression
- Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.91 per slice? Year 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 Pizza Cost 0.153 0.347 0.998 1.247 1.751 1.996 2.246 2.298 2.751 2.997 Subway Fare 0.149 0.347 1.001 1.347 1.500 1.996 2.252 2.548 2.753 2.748 CPI 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 Question content area bottom Part 1 The regression equation is y=enter your response here+enter your response herex. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.) Part 2 The best predicted subway fare when pizza costs $3.91per slice is $enter…Consider the following estimated regression model relating annual salary to years of education and work experience. Estimated Salary = 10,160.10 +3147.75(Education) + 1230.34(Experience) Suppose an employee with 8 years of education has been with the company for 20 years (note that education years are the number of years after 8th grade). According to this model, what is his estimated annual salary? Answer Tables Keypad Keyboard Shortcuts
