Q Two Models estimated to model moitalitrates ofCountsy over the period 1970-2002 areMODEL 1:-Mortalitysale= 66.98-2-76GDP-8.98CPI%3D-14.87 Literacyratet = 5.787.663-98Sol2n 32DW=2.12R.Sqy =0•87%3D%3DMODEL 2:-Mortality rate = 6S.12 - 1.06 GDP - S.78CPI -12-77Literou%3D-2.5Immunizationt3 3.787.263.785.02%3Dn=32DW=2.02R.Sq,=0-89O Compare the goodness af fit of the twoGive reason tomodels)Substant iaTe the answera Compute Adjusted R-Sq of boh madels andConcludewhich is the Better model

From the given information, Both model can be expressed with all required information: Model 1:…

Two Models estimaled rates of Country over the period 1970- 2002 are MODEL 1:- 66.98-2-764DP-8.98CPI -14.87 Literacy rate Mortal idy sale %3D t = 5.78 7.66 3-98 So12 %3D n 32 DW=2-12 R.Sqy =0•87 %3D MODEL 2:- Mortality rate = 6S-12 -1.06GDP - S.78CPI -12-77Lite -2.5Immunization t= 3.78 7.26 3.78 5.02 n= 32 DW=2.02 R-Sqy = 0-89 Compne the goodness odels? af fit of the two Give reason to 'Substant iale the ansu Compute R-Sq af both mades and Conclude Adjuited which is the Řetter mo lol

Two Models estimaled rates of Country over the period 1970- 2002 are MODEL 1:- 66.98-2-764DP-8.98CPI -14.87 Literacy rate Mortal idy sale %3D t = 5.78 7.66 3-98 So12 %3D n 32 DW=2-12 R.Sqy =0•87 %3D MODEL 2:- Mortality rate = 6S-12 -1.06GDP - S.78CPI -12-77Lite -2.5Immunization t= 3.78 7.26 3.78 5.02 n= 32 DW=2.02 R-Sqy = 0-89 Compne the goodness odels? af fit of the two Give reason to 'Substant iale the ansu Compute R-Sq af both mades and Conclude Adjuited which is the Řetter mo lol

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

please solve question 10.70
What is the model if we use Floor Area and Offices as predictors? Predict Assessed Value ($’000) Suppose the final model is: Assessed Value ($'000) = 145.921 + 0.307 * Floor Area What would be the assessed value of a medical office building with a floor area of 3500 sqft, two offices, and built 15 years ago? Is this assessed value consistent with actual values in the database?
Table 8: Regression of Weight Loss on Hours of Exercise and Caloric Intalk Variable se b 95% CI Hours of Exercise 0.27 0.11 0.05, 0.49 Caloric Intake -0.002 .0008 -0.0035, -0.0004 Intercept 8.50 0.73 7.05, 9.95 Note: R? = .35, adj. R? = .35, F = 22.18, df = 2,117; n = 120 %3D swer the following questions about this regression analysis. Which predictors of weight loss are statistically significant, if either? What is the predicted weight loss for someone who consumes 2,000 calori hour per day on average? What is the literal interpretation for the slope of hours of aerobic exercise
The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for 10 randomly selected years. The following data should be used to answer the question that follows. n = 10 Ex = 36.19 Ex2 = 134.17 2.9 < x s 6.2 Ey = 774.7 Iy² = 60739.23 Exy = 2832.21 Before the slope of the line of best fit can be estimated, it is necessary to calculate SS Enter the value for SSx accurate to the nearest tenth.
What scale should we use for the regressors? Expalain the reason?
Why this type of plot is used in analysing regression models
QUESTION 4 Based on the regression equation, we can measure the pearson correlation coefficient predict the value of the dependent variable given a value of the independent variable measure the association between two variables predict the value of the independent variable given a value of the dependent variable.
Step 2 of 3 : Using the model from the previous step, predict the company’s revenue for the 16th month. Round to four decimal places, if necessary. NOTE: Information from step 1: Bo 443.92 + 32.94 B1
QUESTION 3 A study is done to find out whether there is a relationship between a woman's age and the amount of money she has saved (in RM'000). A random sample of data was collected from fifteen women in a residential area. The woman's age ranges from twenty-five to fifty-nine. Below are the results using MS Excel : Table 2 Regression Statistics Multiple R R Square 0.986 R2 Adjusted R Square 0.969 Standard Error 1.098 Observations 15 Table 3 Standard Coefficients Error t Stat P-value Intercept -4.488 1.123 -3.996 0.002 Variable 1 0.580 0.028 0.000 20.999 a. State the independent and dependent variables. b. Interpret the value of the correlation coefficient obtained in Table 2. С. Compute the coefficient of detemination and explain its meaning. Determine the regression equation of amount of money saved on woman's age. е. Comment on the value of the coefficient, b, in the regression equation in (d). f. Predict the amount of money saved for a woman whose age is i. 39 ii. Is the prediction…
The values under n, N, and (n/N,)x 100% for the following table are not real, they are presented here for reasons of clarity. Table 1: Age distribution. Age Group Number of Patients Size of Age Group in Catchment A rea (N,) Proportion (n/ N,)x100% (n) 0- 4 5 - 14 15 - 44 45 - 59 2 60 925 4675 5762 19.75 15.63 58.08 901 4213 7253 23.93 13.84 153 635 76 549 i. Explain why the use of the proportions (n,/ N, )x100%, i= 1, 2,. .. 5, in the construction of the multiple bar chart is comparatively better than the use of the number of patients, (n,). ii. Assuming you are the bio-statis tician, use the multiple bar chart to write a report to management Be guided by the purpose for which multiple bar charts are used.
QUESTION 1 Mr Stat was hired to do some research for the local potion master. He ran a Minitab analysis and found the regression equation for the age increase in years based on the quantity in milliliters, of Ageing Potion one consumed. Age Increase = 0.045*Quantity %3D a) What is the explanatory variable? Quantity b) What is the response variable? Age Increase Suppose the quantities in the st anged from 150ml to 740ml. If unable to predict, answer with n/a. c) How many years would someone's age increase if they drank 200ml? d) How many years would someone's age increase if they drank 100ml? n/a