Problem 5 (continued). Use the Parameter Estimates table for the model (below) to answer parts E-G.Parameter EstimatesVariablet ValuePr > ItParameter EstimateStandard Error486.5703.947186.052962.042061.930603.90155396.4561.989504.088134.013823.977344.122660.2226510.05005170.1419160.6120660.6284760.3462891227301.984011.480620.5087570.4854010.946368(Intercept)DiversityAsianBlackLatinoWhiteE.If we performed backward selection, which variable would we remove from this model?Interpret the value 6.05296 in the Parameter Estimates table.F.Do you have any concerns about the choice of explanatory variables in this model? If so, whatare they? If not, why not?

Part E:The backward elimination (or backward selection, as you have given here) method of forming a…

Answered: Problem 5 (continued). Use the…

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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Identify the critical value and rejection region of the following problems. Sketch the curve for each problem.
Let Yt be the sales during month t (in thousands of dollars) for a photography studio, and let Pt be the price charged for portraits during month t. The data are in the file Week 4 Assignment Chapter 12 Problem 64. Use regression to fit the following model to these data:Yt = a + b1Yt−1 + b2Pt + etThis equation indicates that last month’s sales and the current month’s price are explanatory variables. The last term, et, is an error term. If the price of a portrait during month 21 is $10, what would you predict for sales in month 21? Sales Price $400,000 $15 $1,042,000 $12 $1,129,000 $24 $1,110,000 $18 $1,336,000 $18 $1,363,000 $30 $1,177,000 $27 $603,000 $24 $582,000 $36 $697,000 $27 $586,000 $24 $673,000 $27 $546,000 $30 $334,000 $33 $27,000 $24 $76,000 $27 $298,000 $30 $746,000 $18 $962,000 $21 $907,000 $24
For Questions 1 and 2, you will read an operational hypothesis. Identify the independent variable (IV), dependent variable (DV), and unit of analysis (UA). For each variable (IV and DV), indicate the appropriate level of measurement. There is a relationship between college tuition rates and college acceptance rates such that colleges with lower tuition rates will have higher acceptance rates. IV: DV: UA: Level of Measurement (IV): Level of Measurement (DV): There is a relationship between political affiliation (on a scale of 1 to 10, where 1 = very liberal and 10 = very conservative) and U.S. geographic regions, such that people living in the Northeast are more likely to consider themselves liberal than people living in the South. IV: DV: UA: Level of Measurement (IV): Level of Measurement (DV):
For Questions 1 and 2, you will read an operational hypothesis. Identify the independent variable (IV), dependent variable (DV), and unit of analysis (UA). For each variable (IV and DV), indicate the appropriate level of measurement. There is a relationship between political affiliation (on a scale of 1 to 10, where 1 = very liberal and 10 = very conservative) and U.S. geographic regions, such that people living in the Northeast are more likely to consider themselves liberal than people living in the South. IV: DV: UA: Level of Measurement (IV): Level of Measurement (DV):
Although the Excel regression output, shown in Figure 12.21 for Demonstration Problem 12.1, is somewhat different from the Minitab output, the same essential regression features are present. The regression equation is found under Coefficients at the bottom of ANOVA. The slope or coefficient of x is 2.2315 and the y-intercept is 30.9125. The standard error of the estimate for the hospital problem is given as the fourth statistic under Regression Statistics at the top of the output, Standard Error = 15.6491. The r2 value is given as 0.886 on the second line. The t test for the slope is found under t Stat near the bottom of the ANOVA section on the “Number of Beds” (x variable) row, t = 8.83. Adjacent to the t Stat is the p-value, which is the probability of the t statistic occurring by chance if the null hypothesis is true. For this slope, the probability shown is 0.000005. The ANOVA table is in the middle of the output with the F value having the same probability as the t statistic,…
Question 19: Based on the data shown below, a statistician calculates a linear model y=−2.23x+48.46y=-2.23x+48.46. x y 4 40.7 5 36.2 6 34.1 7 34.3 8 28.9 9 28.3 10 27.8 11 25.5 12 19.4 13 19.9 Use the model to estimate the y-value when x=4x=4y = Use the model to estimate the y-value when x=8x=8y =
Question 5 (c) How does the size of the data set help cut down on the size of the error terms in the approximation process?
Question 7 The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.5 8.4 6.9 3.9 2.4 2.4 2.7 0.6 y 13.6 11.5 10.1 7.6 6.4 6.3 6 4.4 x= thousands of automatic weaponsy= murders per 100,000 residentsThis data can be modeled by the equation y=0.85x+4.12.y=0.85x+4.12. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Use the equation with the values rounded to two decimal places to make your predictions.A) How many murders per 100,000 residents can be expected in a state with 9.8 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons?Answer = Round to 3 decimal places.
Drop-off points (points de collecte in French), where residents can dispose of their organic waste for composting, were established in each of the five targeted neighborhoods of PROBLEM 1. Camille wants to see whether or not there exists a relationship between the average weekly amount of non-disposed food waste per household and the availability of drop-off points in the neighborhood, expressed as the number of households per drop-off point (considered fixed). Her data and some of her preliminary calculations are presented below: Camille also calculated the slope of the fitted regression line: estimated slope = 0.008. Test whether or not the availability of drop-off points in the neighborhood has a linear effect on the amount of non-disposed food waste per household. Use α = 0.10.
For each of the following settings, define the parameter of interest and write the appropriate null and alternative hypotheses for the test that is described. Scenario 1: In an avocado, the average seed diameter is 1 inch. However, you are an avocado expert and you believe that the average seed diameter is increasing recently.
Problem 1In a health survey of 1020 adults in the US, 44% said that they wash their hands after riding public transportation (based on data from KRC Research, http://www.krcresearch.com). What is the population of interest? What is the sample? Is the value 44% a parameter or statistic? What is the level of measurement of the value 44%? Are the numbers of subjects in such surveys discrete or continuous? Problem 2The Financial Times/Harris Poll is a monthly online poll of adults from six countries in Europe and the United States. A January poll included 1020 adults in the United States. One of the questions asked was, “How would you rate the federal bank in handling the credit problems in the financial markets?” Possible responses were Excellent, Good, Fair, Bad, and Terrible (Harris Interactive website, January 2008). What was the sample for this survey? Are the data qualitative or quantitative? Of the respondents in the United States, 10% said the Federal Bank is doing a good…
QUESTION 13 For Problem #13 through #16, consider the following context. The management at Revelation Rehabilitation, a nursing and physical therapy care facility, are exploring the relationship between the numbers of hours each clinical staff member undergoes professional development on safe patient care, represented by the independent variable x, and the number of patient-related injuries that staff member experiences annually, represented by the dependent variable y. The data is as follows: x y 20 16 30 20 25 15 30 18 20 15 30 21 25 12 30 20 20 15 30 20 Predict the number of patient-related injuries if a staff member receives 26 hours of professional development. [COMMENTS & HINTS: Round the answer to the nearest whole unit or patient.] QUESTION 14 For Problem #13 through #16, consider the following context. The management at Revelation Rehabilitation, a nursing and physical therapy care facility, are exploring the relationship between…

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