Use this output to answer the questions below.Analysis of Deviance TableModel 1: Homicides ~ Police + MedHome + MayorModel 2: Homicides ~ Police + MedHome + Mayor + Police:MayorResid. DfResid. DevDfDeviancePr (>Chi)116406.8715379.47127.40.000f. Now we want to test if coefficient on the interactiom term between Mayor and Police is equal to0. Using the deviance results in the table above, describe how you would construct a test statisticand what distribution that test statistic approximately follows. The Federal Bureau of Investigation (FBI), as part of its internal security mission,serves as a database for all the reported crimes committed in the United States. One questionthat might be of interest is does having more police officers reduce the number of homicides? Toinvestigate this claim, the 2013 data from the twenty largest municipal cities was supplied by theFBI's Uniform Crime Report. Below are two observations from the dataset:> head (cities)CityPop HomicidesPoliceDensity MedHome Mayor1New York8175.1333354.259527016.305.539012Chicago2695.5984144.430911843.581.8310The variables included in the study are:Name of cityPopulation of city in 1,000s of peopleNumber of homicides in the year 2013Number of police officers per 1,000 peopleNumber of people per square mileMedian home price in $100,0001 if city has a "Strong Mayor" form of government; 0 if notCityРорHomicidesPoliceDensityMedHomeМayorModel: log(u;) = Bo + B1Police; + B2MedHome; + B3I(Mayor;) + log(Pop;)mod1glm (Homicides ~ Police + MedHome + Mayor, family=poisson, offset=log (Pop))Coefficients:Estimate Std. Error z value Pr(>]z|)(Intercept) -2.197450.35530-6.185 1.31e-05Police0.054240.113900.476 0.640352iMedHome-0.280760.05630-4.987 0.000134Мayor0.600000.311711.925 0.072219(Dispersion parameter for poisson family taken to be 1)

Given the output as Analysis of Deviance Table : Model 1 : Homicides ~ Police + MedHome + Mayor…

Answered: Use this output to answer the questions…

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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67.7 and y 50.7, you You run a regression analysis on a bivariate set of data (n obtain the regression equation 38). With a y = - 0.572x – 33.548 with a correlation coefficient of r = - 0.976. You want to predict what value (on average) for the response variable will be obtained from a value of 50 as the explanatory variable. What is the predicted response value? y =
Because the correlation coefficient is positive/negative and the absolute value of the correlation coefficient, enter your response here #, is greater/not greater than the critical value for this data set,enter your response here #, no/a negative/a positive linear relation exists between the weight of a car and its miles per gallon. Critical value table 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361
Determine the test statistic for the interaction effect.
Define Dynamic effects and the distributed lag model?
One of the two scatter plots below has correlation coefficient 0.84, and the other has correlation coefficient 0.27. Part: 0/ 2 Part 1 of 2 (a) Which graph shows a correlation coefficient of 0.84? Graph 1 23- 20- 15- 10+ 10 12 Graph 2 25- 20+ 15+ 10+ 12 14
A study was conducted to see if a person's income will affect their well-being. We want to create a model with Y = well-being index, and X = income in $1,000. The regression model is: y = beta0 + beta1*x %D y = beta0 + beta1*x + error %3D y_hat = beta0_hat + beta1_hat*x + error O y_hat = beta0_hat + beta1_hat*x
Given the information find the equation for the least squares line as well as the correlation coefficient N=8 X=40 Y=48 Xy= 240 X2 = 210 Y2 = 288 What does y= What does r =
What is an example of a graph that shows a strong interaction effect and a graph that shows no interaction effect?
In the simple linear model Y = Bo + B1X+ ɛ, what is the interpretation of Betal_hat = 8.5? The point at which the line crosses the x-axis in 8.5 The point at which the line crosses the y-axis is 8.5 O The mean value of Y increases 8.5 units for every 1 unit increase X O The mean value of Y decreases 8.5 units for every 1 unit increase X
Please finish the R code to conduct the hypothesis testing. I need the code for the p-value for the F test, tstat, and the p value for tstat. Write the conclusion to the hypothesis testing once completed. # Example 11.1# simple linear regression# H0: B=0 (there is no linear correlation)# H1: B≠0 (there is a linear correlation)data <- data.frame(estriol=c(7,9,9,12,14,16,16,14,16,16,17,19,21,24,15,16,17,25,27,15,15,15,16,19,18,17,18,20,22,25,24),birthweight=c(25,25,25,27,27,27,24,30,30,31,30,31,30,28,32,32,32,32,34,34,34,35,35,34,35,36,37,38,40,39,43))linear <- lm(birthweight~estriol, data = data)summary(linear)# This gives the results for a and b and the F statistic. # Call:# lm(formula = birthweight ~ estriol, data = data)# # Residuals:# Min 1Q Median 3Q Max # -8.1200 -2.0381 -0.0381 3.3537 6.8800 # # Coefficients:# Estimate Std. Error t value Pr(>|t|) # (Intercept) 21.5234 2.6204 8.214 4.68e-09 ***# estriol 0.6082 0.1468 4.143…
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The director of surgery at a local hospital is interested in underständing his unit's costs. An assistant collected data for the past 36 months on unit cost (labor, supplies, and so on) along with the number of procedures performed in the unit The assistant analyzed the data using a spreadsheet program, and the following output was generated Equat ion Intercept Coefficient on procedures Statistical data Correlation coefficient 1,010, ००4० 250 0.538 The unit is planning to perform an average 12,000 procedures per month for the coming year. Required: a. Use the regression output to write the surgical unit cost equation b. Based on the cost equation, compute the estimated costs for the surgical unit per month for the coming year. c. The director of surgery has asked you for advice on whether he should rely on the estimate. Complete this question by entering your answers in the tabs below. Required A Required B Required C Use the regression output to write the surgical unit cost equation.…

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