The table below shows the number of state-registered automatic weapons and the murder rate for severalNorthwestern states.11.48.27.13.42.52.82.50.71410.89.87.25.96.66.54.3x = thousands of automatic weaponsy = murders per 100,000 residents%3DThis data can be modeled by the linear equation0.86x + 3.99a. How many murders per 100,000 residents can be expected in a state with 3 thousand automaticweapons? Round to 3 decimal places.murders per 100,000 residentsb. How many murders per 100,000 residents can be expected in a state with 8 thousand automaticweapons? Round to 3 decimal places.murders per 100,000 residents

Answered: Image /qna-images/answer/21e2ea24-4fe8-40a8-becb-51560ca658a4.jpg

Answered: ne table below shows the number 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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Ten samples of two dimensional data set is given in the table. Find the principal components of this data. 1.4 1.6 -1.4 -2.0 -3.0 2.4 1.5 2.3 -3.2 -4.1 1.65 1.97 -1.77 -2.52 -3.95 3.07 2.03 2.80 -4.05 -4.85
K An institution reports many demographic statistics about countries of the world. Data were collected about the Fertility rate (births per woman) and the female Life Expectancy at birth (in years) for 200 countries of the world. The regression output and a scatterplot of the data are shown below. Complete parts a through d below. Response variable is: Life expectancy 219 total cases of which 19 are missing R squared 71.9% $= 4.303 Variable Intercept Fertility Coefficient 83.3753 -4.54984 OA. Yes, an outler occurs at approximately x (Round to one decimal place as needed.) ICCO Life Expectancy OB. Yes, an outlier occurs at approximately x= (Round to one decimal place as needed.) OC. No, there is no outlier. c) Interpret the value of R². Choose the correct answer below. 90- 80- 70- 60- 50+ 40- 2 Fersity This outier has an unusually high life expectancy given its fertility rate. b) is there an outlier? If so, identify it. Which data value is unusual? Select the correct choice below and,…
is there relationship between the life expectancy for men and the life expectancy for women in a given country? A randome sample of non -industrialized countries was selected and the life expectancy in years is listed for both men and women. Required: Are the variables linearly related? Coefficient of determination? Men 59.7 72.9 41.9 46.2 50.3 43.2 Women 63.8 77.8 44.5 48.3 54.0 43.5
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.5 7 3.3 2.5 2.8 2.2 0.6 14.2 11.6 10.3 7.1 6.4 6.7 6.2 4.8 thousands of automatic weapons = murders per 100,000 residents This data can be modeled by the linear equation ŷ = 0.84x + 4.33 a. How many murders per 100,000 residents can be expected in a state with 9.1 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents
Linear Regression Application, Interpolation and Extrapolation Use the data and story to answer the following questions The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.4 8.2 y 13.9 6.6 3.6 2.4 2.3 2.3 0.4 11 9.3 6.8 6.3 5.9 6.3 4.3 = thousands of automatic weapons y = murders per 100,000 residents Use your calculator to determine the equation of the regression line. (Round to 2 decimal places) Determine the regression equation in y = ax + b form and write it below. Answer = A) How many murders per 100,000 residents can be expected in a state with 4 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 11 thousand automatic weapons? Round to 3 decimal places.
Linear Regression Application, Interpolation and Extrapolation Use the data and story to answer the following questions The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.3 8.5 6.8 3.5 2.4 2.4 2.4 0.3 y 13.8 11.6 9.7 6.9 6.1 6.1 6 4.1 x = thousands of automatic weapons y = murders per 100,000 residents Use your calculator to determine the equation of the regression line. (Round to 2 decimal places) Determine the regression equation in y = ax + b form and write it below. A) How many murders per 100,000 residents can be expected in a state with 8.3 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 5.3 thousand automatic weapons? Answer= Round to 3 decimal places.
2. The table below shows the prevalence of smoking among U.S. adults. a. Make a scatter plot for the data for males and females. b. Write a brief summary to accompany the graph. Smoking Prevalence Among U.S. Adults, 1965–2009 (as a percent of population, 18 years of age and older) Overall Year population Males Females 1965 41.9% 51.2% 33.7% 1974 37.0 42.8 32.2 1983 31.9 34.8 29.4 1985 29.9 32.2 27.9 1990 25.3 28.0 22.9 1992 26.3 28.1 24.6 1994 25.3 27.6 23.1 1995 24.6 26.5 22.7 1997 24.6 27.1 22.2 25.9 25.2 1998 24.0 22.1 1999 23.3 21.6 2000 23.1 25.2 23.4 21.1 2005 2007 20.8 18.3 19.7 22.0 17.5 2009 20.6 23.4 18.3 Source: Statistical Abstracts of the United States, 2012, www.census.gov/ compendia/statab.
A) Draw a residual plot of the data. Explain why a linear model is appropriate for the data B) Suppose that the times have been recorded in seconds. For example, the time 34.12 minutes would be 2047 seconds. How would the value of r change?
Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
e A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the students made toward completing a bachelor's degree. One aspect of his research vas to determine whether students who first attended community college took longer to attain a bachelor's degree than those who immediately attended and remained at a 4-year institution. The data in the table attached below summarize the esults of his study. Complete parts a) through e) below. E Click the icon to view the sample data. OA. The samples are independent. O B. The samples can be reasonably assumed to be random. OC. The population is given to be normally distributed. OD. The sample sizes are large (both greater than or equal to 30). O E. The sample sizes are not more than 5% of the population. :) Does the evidence suggest that community college transfer students take longer to attain a bachelor's degree? Use an a= 0.10 level of significance.…
Sections a and b please
Do d, e, f.

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