a. Construct the scatterplots for the following bivariate date,b. Identify the line direction of each correlation and,c. Determine whether the variables is positive correlation, negative correlation,non-linear correlation, or zero correlation. 2.Age of car (in years)Mileage, (in km/liter)0.516561151.510234.512 1011ab. Trend Linec. Direction of correlation.4125610 117

The variables are: Age of car (in years) and Mileage (in km/liter)

Answered: a. Construct the scatterplots for the…

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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The variables on a date base have a strong correlation. What of the following correlations coefficients match the date? I. -3.2 II. -0.92 III. -0.3 IV. -0.99
The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. What is the best predicted value for y given x = 60? Assume that the variables x and y have a significant correlation. Age, x Pressure, y A. 152 B. 148 C. 150 D. 146 38 41 45 48 51 53 57 116 120 123 131 142 145 148 61 65 150 152
Requirement: 1. Decide on which correlation analysis to use 2. State the null and alternative hypothesis Medical researchers believe that there is a relationship between smoking and lung damage. Data were collected from smokers who have had their lung function assessed and their average daily cigarette consumption recorded. Lung function was assessed in such a way that higher scores represent greater health. The researchers believe that the relationship between these variables may be influenced by the number of years for which the person has been a smoker. Lung function 2 Average cigarettes a day 45 Years of smoking 28 8 18 1 20 7 21 1 33 13 7 18 1 2 51 25 24 34 10 1 52 35 2 33 12 1 49 32 20 1 19 3 22 3 27 6. 29 8 38 16 48 26 39 21 32 8 7 18 1 4 26 25 10 18 1
Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.563. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. A. The coefficient of determination is 0.317. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O B. The coefficient of determination is 0.683. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors. O C. The coefficient of determination is 0.683. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O D. The coefficient of determination is 0.317. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors.
Complete the following objectives for each data set:(a) Draw a scatter plot(b) Estimate the correlation in words (positive, negative, or no correlation)(c) Calculate the correlation coefficient, r.(d) Determine whether r is statistically significant at the 0.01 level of significance.(e) Determine whether r is statistically significant at the 0.05 level of significance.(f) Calculate the coefficient of determination, r2.(g) Interpret the meaning of r2 for the given set of data. (f) Find the equation of the least-squares regression line, if appropriate. The following table contains data from 16 former elementary statistics students, where x represents the number of absences a student had for the semester and y represents the student’s final class average. Absences Class Average 2 86 2 83 3 81 10 53 3 92 7 71 9 68 1 79 12 53 9 78 1 77 1 85 13 62 1 97 10 54 3 79
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Susan, a personal trainer, was interested in whether or not there was a linear relationship between the number of visits her clients made to the gym each week and the average amount of time her clients exercised per visit. She took the following data. Client 1 2 3 4 5 6 Number of visits per week 1 3 4 2 3 5 Average time spent exercising per visit (hours) 2 1.5 1 2 2 0.30 If the correlation coefficient is –1, which answer is correct? Group of answer choices The slope of the best fit line is positive. The data fit exactly on a line with negative slope. The slope of the best fit line is –1. The data fit exactly on a line with positive slope.
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Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
2. Step 3.2 Instructions: Please answer these a.b.c questions. Dont use excel. Please explain well by your knowledge.

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a. Construct the scatterplots for the following bivariate date, b. Identify the line direction of each correlation and, c. Determine whether the variables is positive correlation, negative correlation, non-linear correlation, or zero correlation.