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- Using data from the U.S. Census Bureau, we will analyze the relationship between living below the poverty line and access to health care for a selected sample of 14 states. Use the percentage of the population without health insurance as the dependent variable to calculate the slope and provide an interpretation of the slope. Do include the value of the slope in your answer. State % uninsured % below poverty line Arkansas 9.6 16.2 California 8.3 11.8 Florida 16.1 12.7 Indiana 9.7 11.9 Kentucky 6.7 16.3 8.7 9.2 New Jersey 11.5 18.2 New Mexico 6.3 13.0 New York 8.1 10.6 North Dakota 12.0 6.7 Pennsylvania 10.8 4.8 Rhode Island 13.6 19.9 Texas 9.8 7.5 Washington 10.4 6.5 Wisconsin Soece AmercanCommunt ivex 2019Body fat It is difficult to determine a person’s bodyfat percentage accurately without immersing him orher in water. Researchers hoping to find ways to makea good estimate immersed 20 male subjects, thenmeasured their waists and recorded their weights.a) Create a model to predict %Body Fat fromWeight.b) Do you think a linear model is appropriate?Explain.c) Interpret the slope of your model.d) Is your model likely to make reliable estimates?Explain.e) What is the residual for a person who weighs 190pounds and has 21% body fat?The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. grams55606570758085 Vitamin Ccontent in mg11.614.115.918.920.322.825.5 A) Find the regression equation: y= x+Round your answers to 3 decimal placesB) Answer the following questions using your un-rounded regression equation. If we test 115 grams of raspberries what is the expected Vitamin C content? mg(round to the nearest tenth)
- Make a scatter plot of the data and determine which type of model best fits the data.(0,3)(8,3)(-4,-1)(4,4)(-6,-3)(10,1)In a certain country, total alcoholic beverage sales are reported throughout the year. Sales were reported as $118.5 billion at the beginning of 2004 and $136.2 billion at the beginning of 2006. (a) Let the x-axis denote time and the y-axis denote the amount of alcohol sales (in billions), Let x = 0 correspond to 2004. Fill in the blanks: The given data is represented by the points ( 118.5) and (2, ). (b) Find the linear equation determined by the two points in part (a). (c) Use the equation in part (b) to estimate the alcohol sales produced in 2005. (d) If the model remains accurate, in what year will reported alcohol sales reach $150 billion? (a) The given data is represented by the points (,118.5) and (2,). (Type integers decimals rounded to one decimal place.) (b) The linear equation determined by the two points in part (a) is y =x+. (Type integers or decimals rounded to one decimal place.) (c) The alcohol sales produced in 2005 are approximately $ billion. (Type an integer or…C Clever | Portal 9 Schoology W Nevaeh Sykes - Ta: x di (8) | Microsoft G Holland Taylor - G X b My Questions | bar x G what does delta m x + -> A dpscd.schoology.com/common-assessment-delivery/start/3436203056?action=Donresume&submissionld=329615655 Chapter 2 Assessment 3 of 15 What is the formula for slope? Ду m = Ax Дх а. b. = W Ay с. y = mb + x d. y m =- O A O B O C O D 1 2 3 4 7 10 Next 1 v i 12:52
- The data (Table 1) show the lists of sugar consumption (kg per capita) and the number of diabetes patients (per million people) for selected countries. Table 1: Sugar consumption and diabetes patients Sugar diabetes patients 5 6 4 4 5 a) b) 6 9 3 2 11 Construct a scatter plot, and comment on the features of the plot. Does there appear to be a linear relationship between the two variables? How would you characterize the relationship? c) Compute the value of the correlation coefficient. Is the value of r consistent with your answer to part (b)? d) Is it reasonable to conclude that by sugar consumption against the number of diabetes patients? Explain.If data set has a relationtionship that is best described by a linear model, then the residual plot willBelow is a scatterplot of a student’s SAT score and their college GPA. Suppose we want to decide if a student’s SAT score and their GPA are linearly related. What does this scatterplot tell us of the relationship? Support your answer. SAT score_GPA scatterplot.pdf
- A survey is conducted on 700 Californians older than 30 years of age. The study wants to obtain inference on the relationship between years of education and yearly income in dollars. The response variable is income in dollars and the explanatory variable is years of education. A simple linear regression model is fit, and the output from R is below: Im(formula = Income ~ Education, data = CA) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 25200.25 1488.94 16.93 3.08e-10 *** Education 2905.35 112.61 25.80 1.49e-12 *** Residual standard error: 32400 on 698 degrees of freedom Multiple R-squared: 0.7602Hi, I am stuck on this question, could you please helpHeight Weight GPA Study TV Computer FamilySz Floors stairs friends female Acctg Mgmt Mktg Fin IntBus Other 67 138 4 6 2 1. 2 26 6. 1 73 175 3.47 5 4 26 1 62 112 4 6 2 1. 4 34 3 1 1. 64.5 122 3.5 3.4 1. 3 47 4 1 1. 69 135 4 4 2 4 13 1. 61 129 3.8 4 2 3 5 17 1. 1. 64 135 3.4 3 2 5 1. 1 1. 68 150 4 10 1 4 2 31 4 1 1 70 130 3.8 4 1 2 4 2 26 8. 1 65 172 3.6 2.5 1.5 0.5 4 2 26 8. 1 74 235 2.6 1. 1. 1. 4 3 52 1. 69 150 3 2 3 3 4 3 26 1. 72 152 2.8 2.5 0.5 3 5 3 30 10 1. 73 155 3 1. 2 4 2 26 1 74 170 3.75 1.5 1.5 2 15 5 1. 68 150 3 2.5 1. 4 3 26 10 1 63 115 2.5 3 2.5 3 2 13 8 1. 1 71 180 2.1 1 3 3 4 13 10 1 72 167 2.7 2. 4 4 2 18 3 72 180 3.8 2 1.5 0.5 1. 300 68.575 152.6 3.341 3.395 1.55 1.75 4.1 2.2 38.25 5.8 s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.640723 0.695852 62.7215 2.587419 ------ ---- ----- ----- ----- ----- ---- ----- ----- ----- ----- ------ ----- ---- ---- --