Model SummaryChange StatisticsAdjusted RStd. Error of theModelRR SquareSquareEstimateR Square Change F Changedf1df2Sig. F Change1.268.072.0675.49167.07213.333172.000.443196.1875.12637.12426.387171.000a. Predictors: (Constant), nonceunshrb. Predictors: (Constant), noncounshr. LF_MAnswer the following:1) Why is the df2 for model 2 171? (Show the df formula and how you end up with df2 equals 171)2) How much variance is accounted for by LF_M?3)Of model 1 and model 2, which is the full model and which is the reduced model?4) Is there a significant difference between the full and the reduced models? How do you know?

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. An archaeological study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Сoef SE Coef T P Constant -0.209 2.429 -0.09 0.929 Diameter 0.7689 0.1471 5.66 0.002 S 4.07980 R-Sq 88.9% %3D For the least-squares line ŷ = a + bx, what is the value of the constant a? What is the value of the slope b? (ote: The slope is the coefficient of the predictor variable.) Write the equation of the least-squares line. a = b = + The P-value for a two-tailed test corresponding to each coefficient is listed under P. The t value corresponding to the coefficient is listed under T. What is the P-value of the slope? Recall that the t value and resulting P-value of the slope b equal thet value…
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SUMMARY OUTPUT Regression Statistics R-Square 0.558 Regression Standard Error (S) 863.100 Observations 35 Coeff StdError t-Stat Intercept 1283.000 352.000 3.650 X1 25.228 8.631 2.923 X2 0.861 0.372 2.315 Questions: Write the fitted regression equation (Three decimals for the estimated coefficients). Write the estimated intercept and slopes, associated with their corresponding standard errors (Three decimals for the estimated coefficients. Interpret and analyze the estimated results of each coefficient.
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Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However, the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used correctly. A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box- whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalityInformationoutputhistbox 210317.pdf The assumption of normality was checked by comparing the and the median. This suggests that the distribution is slightly The + The is between the acceptable range of -3 and +3.…
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Model Summary Adjusted R Square Std. Error of Model R R Square the Estimate 1 .772 .596 .516 215.1509 a. Predictors: (Constant), Porosity ANOVA Sum of Model Squares df Mean Square F Sig. Regression 341943.282 1 341943.282 7.387 .042b Residual 231449.575 46289.915 Total 573392.857 a. Dependent Variable: Runoff b. Predictors: (Constant), Porosity Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta t Sig. (Constant) 1863.761 237.546 7.846 .001 Porosity -80.729 29.703 -.772 -2.718 .042 a. Dependent Variable: Runoff A geomorphologist is building a model to understand variation in the amount of runoff observed in various streams within a large drainage basin. Linear regression is used to determine whether runoff is inversely related to the porosity of the soil. The variables here are thus runoff and porosity. The SPSS output from the analysis is shown above. One of the cases has a runoff value of 900 and a porosity value of 8. Calculate the value of the…
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the coefficient of determination r squared measures the ____________ explained by the simple linear regresión model. a. Correlation b.proportion of variation c. Standard error d. Mean square error
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