Please answer the question below correctly, this question deals with correlations. The relationship of a woman’s shoe size and length of a woman’s foot, in inches, is given in the accompanying table. Calculate the linear relationship between the women's shoe size and their foot length?

Please answer the question below correctly, this question deals with correlations. The relationship of a woman’s shoe size and length of a woman’s foot, in inches, is given in the accompanying table. Calculate the linear relationship between the women's shoe size and their foot length?

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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Medical records indicate that people with more education tend to live longer; the correlation is 0.91. The slope of the linear model that predicts lifespan from years of education suggests that on average people, tend to live 1.46 extra years for each additional year of education they have. The slope of the line that would predict lifespan from years of education is: 1.46 91 146 0.91
The graph below is a scatter plot between liabilities and assets, bothexpressed in millions. i. Critically assess this scatter plot explaining about the relationship betweentwo variables.ii. A researcher claims that the correlation is showing that changes in assetscause changes in liabilities. Is he right or wrong? Explain your answer.
Need help with part d only? The slope and average is?
Please complete the rest of these questions thank you! The given scatter plot shows age versus test score data for a testof video game skills: d) Use your equation to predict the test score for a60 year-old test-taker.e) Estimate the value of the linear correlationcoefficient for your line. Explain your reasoning.
Please Answer Questions A through C. Correlation table is provided.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X 11.3 y 13.3 10.9 9.9 8.4 6.8 3.9 2.8 2.4 2.5 7 6.7 6.4 6.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation ŷ = 0.79x + 4.32. Use this equation to answer the following. Answer = 12.829 0.9 5 A) How many murders per 100,000 residents can be expected in a state with 10.1 thousand automatic weapons? Answer = 6.123 x Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? x Round to 3 decimal places.
Tammy kept track of the shoe size of expectant mothers and the weights of their newborns. She recorded her data in the following scatterplot. 10 Baby Weight vs. Shoe Size y 13 12 11 10 5 6 7 8 9 10 1112 13 Mother's Shoe Size Which statement best describes the relationship shown in the scatterplot? There is no relationship between a mother's shoe size and the weight of her newborn. O G The weights of newborns were constant, but the shoe sizes of the mothers varied. OH The greater the shoe size of the mother, the lesser the weight of her newborn. The greater the shoe size of the mother, the greater the weight of her newborn. 1 2 3 8. 69 10 前Rev Baby's Weight (lb)
Select your answers from the drop-down lists.
A real estate agent has developed a linear model for the price of a house, P, in dollars in terms of the area, A, in square feet for the homes in a certain neighborhood. The data set had areas ranging from 1,000 square feet to 4,500 square feet. Would predicting the prices of a home that is 4,900 square feet be interpolation or extrapolation? Explain. Using the model to predict the price of a 4,900 square foot home is extrapolation because 4,900 square feet is outside the range of the areas in the data. Using the model to predict the price of a 4,900 square foot home is interpolation because 4,900 square feet is inside the range of the areas in the data. Using the model to predict the price of a 4,900 square foot home is extrapolation because 4,900 square feet is inside the range of the areas in the data. Using the model to predict the price of a 4,900 square foot home is interpolation because 4,900 square feet is outside the range of the areas in the data.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
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Do the plots show any trend? If yes, is the trend,Why or why not?