The data shows that the percentage of female cigarette smokers in a certain countrydeclined from 22.3% in 1997 to 14.6% in 2015. Answer parts (A) through (B).Percentage of Smoking Prevalence among U.S.AdultsYearMales (%)199727.3200025.7200320062010201524.223.721.616.5Females (%)22.321.319.917.916.514.6(A) Applying linear regression to the data for females in the table produces the model f= -0.44t+22.37, where f is percentage of femalesmokers (written as a percentage) and t is time in years since 1997. Draw a scatter plot and a graph of the regression model on the sameaxes. Choose the correct answer below. A.% female smokers (f)JNIE15€Years since 1997 (t)QO% female smokers (f)15-010Years since 1997 (t)% female smokers (f)15INIËYears since 1997 (t)N% female smokers (f)D.1510 20Years since 1997 (t)

The question is about regression Given : To find : Construct scatter plot for data of year and %…

Answered: The data shows that the percentage of…

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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A social researcher wishes to know if there is a relationship between gender and perspective on the death penalty. Data has been collected on 228 persons and the results are displayed in the table below. Is there evidence of a relationship between gender and perspective on the death penalty? Gender Favor Oppose Total Male 70 42 112 Female 68 48 116 Total 138 90 228 Copy Data Step 4 of 8 : Find the value of the test statistic. Round your answer to three decimal places.
Education pays off, according to some data from a study. The median weekly earnings and the unemployment rates for eight different levels of education are shown in the table. Educational Attainment Doctoral degree (Dr) Professional degree (Prf) Master's degree (MS) Bachelor's degree (BS) Associate degree (AS) Some college, no degree (SC) High school diploma (HS) Less than a high school diploma (NHS) Unemployment Rate (%) 1.7 1.7 2.5 2.6 3.5 4.3 5.3 7.5 Median Usual Weekly Earnings ($) 1,665 1,747 1,382 1,155 820 757 690 505 Note: Data are for persons aged 25 and over. Earnings are for full-time wage and salary workers.
Prisons 2006 A report from the U.S. Department ofJustice (www.ojp.usdoj.gov/bjs/) reported the percentchanges in federal prison populations in 21 northeasternand midwestern states during 2006. Using appropriategraphical displays and summary statistics, write a reporton the changes in prison populations.
The owner of Showtime Movie Theaters, Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow. Weekly GrossRevenue($1000s) TelevisonAdvertising($1000s) NewspaperAdvertising($1000s) 96 5.0 1.5 90 2.0 2.0 95 4.0 1.5 92 2.5 2.5 95 3.0 3.3 94 3.5 2.3 94 2.5 4.2 94 3.0 2.5 Part A: Develop an estimated regression equation with the amount of television advertising as the independent variable. Part B: Develop an estimated regression equation with both television advertising and news paper advertising as independent variables. Part C: Is the estimated regression rquation coefficient for television advertising expenditures the same in part (a) and in part (b) ? Interpret the coefficient in each case. Part D : Predict Weekly gross revenue for a week $3500 is spent on television advertising and $1800 is spent on newspaper advertising? Please hurry
What is the coefficient of determination for Data Set B? The coefficient of determination for Data Set B is %. Full Data Set: (Type an integer or decimal rounded to the nearest tenth as needed.) Data Set A Data Set B Data Set C y X y 8.9 3.6 8.9 3.1 8.9 2.8 8.3 15.0 9.4 15.0 8.1 15.0 0.5 4.8 1.2 4.8 3.0 4.8 14 6.0 10 6.0 8.3 6.0 8.2 14.9 9.0 14.9 8.2 14.9 11.9 9.8 15.0 5.9 11.9 5.0 11.9 1.4 4.3 9.8 3.4 9.8 1.0 8.3 15.0 7.4 0.1 7.5 15.0 7.9 03 4.7 4.7 5.9 4.7 6.8 13.0 13.0 5.0 13.0 (This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.)
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Using the same data and information. Please answer this: Should you be encouraging or discouraging credit card sales? In answering this question, consider the following: Is the proportion of credit and non-credit sales significantly different? (a=.05) Is the average sale amount for credit sales different than the average sales amount for non-credit sales? (a=.05)
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