Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals.Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using α = 0.05.Question Viewer tevidence to conclude that there is a linear correlation between overhead widths of seals fromphotographs and the weights of the seals?Overhead WidthWeightClick here to view a table of critical values for the correlation coefficient.A.Aweight (kg)300-Construct a scatterplot. Choose the correct graph below.100-7●●●●7.2117width (cm)7.820510B.9.8246Aweight (kg)300-10077The linear correlation coefficient is r= .825.(Round to three decimal places as needed.)●width (cm)9.3199108.8201300-le100+7weight (kg)8.4194♥●width (cm)10The critical values are r=(Round to three decimal places as needed. Use a comma to separate answers as needed.)Aweight (kg)300-100+7width (cm)10

x = 7.2, 7.8, 9.8, 9.3, 8.8, 8.4y = 117, 205, 246, 199, 201, 194Σ x = 51.3Σ y =1162The sample size…

Answered: Listed below are the overhead widths…

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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For a sample of eight bears, researchers measured the distances around the bears' chests and weighed the bears. Minitab was used to find that the value of the linear correlation coefficient is r= 0.846. Using a = 0.05, determine if there is a linear correlation between chest size and weight. What proportion of the variation in weight can be explained by the linear relationship between weight and chest size? Click here to view a table of critical values for the correlation coefficient. .... a. Is there a linear correlation between chest size and weight? A. No, because the absolute value of the test statistic exceeds the critical value of 0.707. B. Yes, because the absolute value of the test statistic exceeds the critical value of 0.707. C. Yes, because the test statistic falls between the critical values of - 0.707 and 0.707. D. The answer cannot be determined from the given information. b. What proportion of the variation in weight can be explained by the linear relationship between…
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For a data set of brain volumes (cm°) and I scores of four males, the linear correlation coefficient is r= 0.968. Use the table available below to find the critica values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed.) Since the correlation coefficient r is there V sufficient evidence to support the claim of a linear correlati
For a data set of chest sizes (distance around chest in inches) and weights (pounds) of seven anesthetized bears that were measured, the linear correlation coefficient is r = 0.715. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed.) Since the correlation coefficient r is in the right tail above the positive critical value, there is sufficient evidence to support the claim of a linear correlation. Table of Critical Values of r - X Number of Pairs of Data n Critical Value of r 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 Print Done ×
3) Complete the chart below. Use (1) for independent variable and (D) for dependent variable. DESCRIBE/PREDICT NAME THE TYPE VARIABLES OF THE RELATIONSHIP CORRELATION Sample Distance traveled_D As time increases, the distance travelled POSITIVE Time L increases a) Number of Books Total Mass Hours Exercised Amount of Body Fat
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use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
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The following table lists the monthly sales and advertising expenditures for 10 months of a digital electronics company in year 2017. 103 109 112 115 117 116 118 114 121 10 123 Sales (RM 000's) 4.4 5.9 6.5 6.8 7. 7.2 7.4 7.8 8.1 Advertising (RM 000's) a:
A pediatrician wants to determine the relation that may exist between a child's height and head circumference She randomly selects 8 children from her practice, measures their height and head circumference, and obtains the 27.5 data shown in the table. Complete parts (a) through (e) below. Click here to see the Table of Critical Values for Correlation Coefficient. Height (in.) Head Circumference (in.) O 17.4 25.75 26.75 25 17.1 17.1 16.9 27.5 17.5 26.75 17.2 17.1 25.75 26.75 17.3 (a) If the pediatrician wants to use height to predict head circumference, determine which variable is the explanatory variable and which is the response variable. Choose the corect answer below O The explanatory variable is head circumference and the response vanable is height O The explanatory variable is height and the response variable is head circumference (b) Draw a scatter diagram. Choose the correct graph below. O D. OA. B. Click to select your answer(s). VI 9:31 acer -> esc & backspace @ 2$ % 7 8 1 r…
Part A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
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