Researchers in a certain country investigated how having daughters influences voting on women's issues by members of the federal government. The researchers usevoting records of each member of the federal government to compute an index score, where higher scores indicate more favorable voting for women's rights. Theresearchers modeled the index score (y) as a function of the number of daughters (x) a voting member has. Data collected for the 457 members of the federalgovernment last year were used to fit the straight-line model, E(y) = Bo + B1x. Complete parts a through c below.a. If it is true that having daughters influences voting on women's issues, will the sign of B, be positive or negative? Explain.Positive, because if the claim is true, then index score would increase as the number of daughters increases.b. The following statistics were reported in the article: B,= 0.61 and Sa.= 0.28. Find a 95% confidence interval for B1.A 95% confidence interval is ( D(Round to three decimal places as needed.)

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Answered: Researchers in a certain country…

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 particular article proposed a quadratic regression model to describe the relationship between x = degree of delignification during the processing of wood pulp for paper and y = total chlorine content. Suppose that the actual model is the following. y = 190 + 75x - 4x² + e (a) Mean chlorine content for x = 5 is --Select--- V mean chlorine content for x = 7. (b) What is the change in mean chlorine content when the degree of delignification increases from 8 to 9? What is the change in mean chlorine content when the degree of delignification increases from 11 to 12?
The risk of a person developing heart disease is correlated with their BMI (or body mass index), which is calculated by dividing their body mass by their height (high BMIS typically mean the person is overweight). Heart disease is also related to a person's level of activity. Suppose a person's BMI is x and their physical activity is y (measured, for example, in minutes of exercise each day). Let h be a heart disease risk index (high values of h mean high risk of heart disease, low values of h mean a low risk of heart disease). h depends on x and y, that is, h3h(x,y). A simple linear model that only takes into account the effects of BMI and activity is (a) Would you expect a > 0 or a < 0? What about b? You would expect a 7o and b 0. (b) To fit the values of a and b, consider the following data. A patient with BMI of 15, and who does 50 min of activity each day, has risk index h = 150. A patient with BMI of 30, and who does 30 min of activity each day, has risk index h = 405. Use these…
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)
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