Pls do this fast in 10 min i will give you 3 likes.. try to do this in typed form.-interpret the variables shown?-is the entire model significant and why?-what kind of tests are being used to show the model is significant or not ? stEquation: UNTITLED Workfile: MACRO_VARIABLES::UntitledView Proc Object Print Name Freeze Estimate Forecast Stats ResidsDependent Variable: ERMSOFTMethod: Least SquaresDate: 01/11/23 Time: 09:25Sample (adjusted): 1986M05 2013M04Included observations: 324 after adjustmentsVariableCDCREDITDINFLATIONDMONEYDPRODDSPREADERSANDPRTERMR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodF-statisticProb(F-statistic)CoefficientPRE203757722REDT 120Std. Error t-Statistic201700.206805 Mean dependent varS.D. dependent var0.18923412.65882 Akaike info criterion50637.65 Schwarz criterion1278.113 Hannan-Quinn criter.Durbin-Wats on stat11.769810.000000PAPOTEELEC02-2006-0.151409 0.904787 -0.167342 0.8672-4.05E-05 7.64E-05 -0.5304960.59612.959910 2.1662091.3664010.1728-0.011087 0.035175 -0.3151840.7528-1.425779 1.324467-1.0764930.28255.366629 6.9139150.7762070.43821.360448 0.1566158.6865924.315813 2.515179 1.715907Prob.HAMAS0.00000.0872-0.31146614.058717.9389678.0323197.9762282,165384XPEACE0277122015-08

Multiple regression analysis is used to estimate the relationship between the dependent variable and…

Answered: -interpret the variables shown? -is the…

-interpret the variables shown? -is the entire model significant and why? -what kind of tests are being used to show the model is significant or not

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

Real estate again The regression of Price on Size ofhomes in Albuquerque had R2 = 71.4,, as describedin Exercise 25. Write a sentence (in context, of course)summarizing what the R2 says about this regression.
How does R treat those observations with missing values? In other words, what role do the observations with missing values play in the regression? No command is needed for this question. You must need to provide an answer or take a guess.
The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? Click the icon to view the data. Determine the VIF for each independent variable in the model. | VIF ₂2 = VIF₁ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? OA. No. The VIF for each independent variable is less than 5. B. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. OD. Yes. The VIF for each independent variable is less than 5. wwwwwww Table of Data Standby Total Staff Hours Present 245 330 274 358 195 197 117 153 115 275 200 236 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479 Print Done
The graph plots the gas mileage of various cars from the same model year versus the weight of these cars in thousands of pounds. Describe the association between the two variables. Also explain what the point at the very top represents. 3.75 Weight (thousands of pounds) BIUA A LE xx, E 12pt Paragraph Subm
How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? low moderate strong Would you say the correlation is positive or negative? positive negative (c) Use a calculator to verify that x = 67, x2 = 1265, y = 644, y2 = 93,546, and xy = 10,544. Compute r. (Round your answer to three decimal places.) As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer. Given our value of r, y should…
please help me answer this for my data analysis class
Using the data in the first image can you give me answers to questions in 2nd image(4,5,6).Can you plz atleast explain how to do 5&6 (6 is the main one) plz help......
The data show The chest size and weight of several bears find regression equation, letting chest size be the independent variable then find the best predicted weight of a bear with a chest size of 51 inches is the result close to the actual weight of 422 pounds use a significance level of 0.05 Chest size : 45, 50, 43, 43, 52, 52. Weight : 352, 374, 275, 314, 440, 367.
Please answer this questions I need help from expert. I will give likes to your answer answr in 10 minutes. Thanks. Don't copy from any websites
Can you please help with sub-parts C and D
Write the linear model to test the hypothesis that there is no treatment effect. Clearly describe each term in the model, and the range of the subscripts. Write the null hypothesis that you are testing. Call: lm(formula = score ~ list, data = hearing) Residuals: Min 1Q Median 3Q Max -14.7500 -5.5833 -0.2083 6.3333 16.4167 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 32.750 1.612 20.315 < 2e-16 *** listList2 -3.083 2.280 -1.352 0.17955 listList3 -7.500 2.280 -3.290 0.00142 ** listList4 -7.167 2.280 -3.144 0.00225 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 7.898 on 92 degrees of freedom Multiple R-squared: 0.1382, Adjusted R-squared: 0.1101 F-statistic: 4.919 on 3 and 92 DF, p-value: 0.00325