For the following data:x| 1.4 2.4 4.0 4.9 5.7 6.3 7.8 9.0 9.3 11.02.3 3.7 5.7 9.96.9 15.8 15.4 36.9 34.6 53.2Make a scatterplot of y versus x. Is the relationship between x and y approximatelylinear, or is it nonlinear?b. Compute the natural logarithm of each y value. This is known as making a logtransformation of y. Make a scatterplot of In y versus x. Is the relationship between xand In y approximately linear, or is it nonlinear?In general, it is easier to work with quantities that have an approximate linearrelationship than with quantities that have a nonlinear relationship. For these data, doyou think it would be easier to work with x and y or with x and In y? Explain.a.C.

Answered: Image /qna-images/answer/feba27b5-9bb2-4f63-8e23-55ffa729741f.jpg

Answered: For the following data: x| 1.4 2.4 4.0…

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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An econometric model is a multiple linear regression model if Select one: a. it explains y as a linear function of several x , the explanatory variables b. none of the answers is correct c. it explains the average value of y as a linear function of several explanatory variables d. it explains the average of y as a function of several x e. it explains the sample mean of y as a function, linear in the parameters , of several x
Which of the following statements is incorrect? Select one: a. The coefficient of determination is defined as r². b. If r²=0.70, it implies that 70% of the variation in Y is explained by the regression line. c. If r=0.64 then r²=0,4096. O d. r indicates the strength and the direction of the relationship between X and Y variables. O e. The coefficient of correlation r can never be negative.
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
Data were gathered and displayed on the scatter plot. 15 y 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Which of the following is the best equation to model the data? ŷ = 11.5(0.81)* Oŷ = 8.1(0.115)* Oŷ= -0.115x+8.1 Oŷ=-0.81x+11.5
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1�1) is the number of hours spent studying, and the second independent variable (x2�2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 55 44 3030 44 33 3030 33 33 1919 33 33 1818 22 22 1818 Copy Data Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places
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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.5 8.2 6.9 3.3 2.8 2.2 2.6 0.6 yy 13.7 10.9 10.2 7 6.1 5.8 6.3 4.2 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.87x+3.9.y=0.87x+3.9. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 2.5 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 5.2 thousand automatic weapons?Answer = Round to 3 decimal places. Submit QuestionQuestion 17
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.6 8.5 7.2 3.6 2.6 2.3 2.1 0.4 yy 13.8 11.4 9.9 7.1 5.9 5.8 5.8 4.7 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.84x+4.02.y=0.84x+4.02. 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 4.9 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 10.3 thousand automatic weapons?Answer = Round to 3 decimal places.
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