Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both the number of births x perone thousand people in the population and the female life expectancy y (in years) are given. These data are displayed in the Figure 1 scatter plot.Birthrate, x(number of births per1000 pop.)16.535.339.817.730.127.013.447.249.649.848.024.5Send data to calculatorFemale life expectancy,y(in years)76.066.665.774.164.171.772.056.754.457.763.674.5Send data to ExcelFemale life expectancy(in years)85.Figure 180-75-70.65.60555015 20 25 30 35 40 45 50 55Birthrate(number of births per 1000 pop.)The value of the sample correlation coefficient r for these data is approximately - 0.909.Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult alist of formulas.)(a) What is the value of the slope of the least-squares regression line for these data?Round your answer to at least two decimal places.(b) What is the value of the y-intercept of the least-squares regression line for these data?Round your answer to at least two decimal places.

From the given information: x y x^2 y^2 xy 16.5 76 272.25 5776 1254 35.3 66.6 1246.09…

Answered: Below are bivariate data giving…

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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3. Consider the following sets of data from Dataset II. For the dataset, determine what type of chart or graph would best represent those data (A-D). Explain your reasoning in detail. Pie chart Line graph Bar graph Scatter plot Dataset II: Carolyn collected data on rates of recycling participation over the last eight years to determine whether her city’s education program has been effective. In 2006, before the education program was implemented, 9% of the city’s residents recycled. Her data follows: Year Participation Rate 2006 9% 2007 13% 2008 17% 2009 22% 2010 28% 2011 31% 2012 32% 2013 30% 2014 31% What type of figure would best represent these data in Dataset II? ________ Reasoning:
Please answer all sub-parts A doctor wanted to determine whether there is a relation between a male’s age and his HDL (so-called good cholesterol). He randomly selected 9 of his patients and determined their HDL cholesterol. The data is reported in the table below: Age (Yrs) HDL (?μmol/L) 38 57 42 54 46 34 32 56 55 35 52 40 61 42 61 38 26 47 a) Compute the regression equation for HDL as a function of age. b)Interpret the meaning of the regression parameters. c) Compute r and r2. Interpret these statistics. d) What is your opinion of the usefulness of using age as a predictor of HDL?
What is the relationship between the average income and the level of education in a given population, and how does this relationship vary across different regions and demographic groups?
The data used is from college campuses. The variables used in the analysis below include: crime, total campus crime; enroll, total enrollment; police, employed officers. Use the estimated OLS models to answer the questions below: Model A: In(crime) = -6.631 + 1.270ln(enroll), (1.034) (.110) n = 97; R² = .5804 Model B: In(crime) = -4.794 + .923ln(enroll) (.144) (1.112) n = 97; R² = .632 +.516ln(police), (.149) Using Model A, test the null hypothesis that elasticity of crime with respect to enrollment is unit elastic, i.e. equal to one (against a two-sided alternative). Calculate the t-statistic.
A sample of blood pressure measurements is taken from a data set and those values (mm Hg) are listed below. The values are matched so that subjects each have systolic and diastolic measurements. Find the mean and median for each of the two samples and then compare the two sets of results. Are the measures of center the best statistics to use with these data? What else might be better? Systolic: 122 137 158 114 156 143 99 112 115 152 Diastolic: 61 51 76 73 55 58 74 60 87 59 Find the means. The mean for systolic is mm Hg and the mean for diastolic is mm Hg. (Type integers or decimals rounded to one decimal place as needed.) ***
Part II. The data below represents the weights (in kgs) of a sample of 20 giant turtles: 61 65 67 67 69 73 74 74 74 77 77 78 80 84 88 89 92 93 95 96 1. Construct a Stem-and-Leaf display of this data based on the stems 6, 7, 8, 9. 2. Find the percentage of weights greater than or equal to 73 kgs. 3. Find the percentage of weights less than 80 kgs.
Draw a box plot for the data set with the statistics in the picture
An investigation of the properties of bricks used to line aluminum smelter pots was published in an article. Six different commercial bricks were evaluated. The life span of a smelter pot depends on the porosity of the brick lining (the less porosity, the longer the life span); consequently, the researchers measured the apparent porosity of each brick specimen, as well as the mean pore diameter of each brick. See the table. Apparent Porosity (y). Mean Pore Diameter (x). Click the icon to view the table. Data table Mean Pore Diameter Apparent Porosity (%) (micrometers) Brick Interpret the y-intercept of the line. Choose the correct answer below. 18.7 12.0 В 18.3 9.8 O A. The y-intercept is Bo- This value has no meaning because 0 is not in the observed range of the independent variable mean pore diameter. 16.3 7.3 6.9 5.4 O B. The y-intercept is Bo: For each unit increase in mean pore diameter, the mean porosity is estimated to increase by B0- 17.2 10.9 O C. There is not enough…
Match the best graphic to be used for each scenario. To compare the choleterol levels between males and females v [ Chopse] box plot pie chart side by side box plot To display the breakdown of diet types (vegan, vegetarian, low carb, low fat)fat stem plot To describe the distribution of fasting blood [ Choose ] sugar levels among elderly diabetic patients To calculate the proportion of people in a study sample who weigh less than the [Choose] sample meanhah No new data to save. Last checked MacBook Air
The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes (BMI) for beauty pageant winners from two different time periods. Find the coefficient of variation for each of the two sets of data, then compare the variation. The coefficient of variation for the BMI's of beauty pageant winners from the 1920s and 1930s is %
You want to conduct a study on the proportion of Penn State students who miss class when it is raining. Suppose here is the data you collect for students who live on-campus versus students who live off-campus: Never Miss Sometimes Miss Always Miss On-Campus 20 12 13 Off-Campus 45 14 22 a. For on-campus students (only), estimate the true difference in proportions for those who never miss class versus those who always miss class, when it is raining. Place a bound on the error of estimation. b. Estimate the true difference between the proportions of on-campus students who always miss class versus the proportion of off-campus students who always miss class, when it is raining. Place a bound on the error of estimation.
Please help with the areas marked with an X To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 19 29 16 25 27 15 23 32 19 21 28 18 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use . Sum of Squares, Treatment X Sum of Squares, Error X Mean Squares, Treatment X Mean Squares, Error X Compute the values below (to decimals, if necessary). Calculate the value of the test statistic (to decimals)_______x_________. b. At the level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers and . Calculate Fisher's LSD Value (to decimals)______X______

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