Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.
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Question 7 options:
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Critical values: r = ±0.207, no significant linear correlation
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Critical values: r = ±0.217, no significant linear correlation
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Critical values: r = ±0.207, significant linear correlation
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Critical values: r = 0.217, significant linear correlation
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- 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 ×Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r=−0.816,n=5 A. Critical values: r=0.950, significant linear correlation B. Critical values: r=±0.950, no significant linear correlation C. Critical values: r=±0.878, no significant linear correlation D. Critical values: r=±0.878, significant linear correlationThe accompanying table lists the word counts measured from men and women is 56 couple relationships. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of α=0.05. a. The linear correlation coefficient is r= (Round to three decimal places as needed.) b. the test statistic is t= (Round to two decimal places as needed.) c. the p-value is (Round to three decimal places as needed.)
- identify the linear correlation coefficient r, test statistics and p value.Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.05. If everyone were to tip with the same percentage, what should be the value of r? Bill (dollars) Tip (dollars) Tip Amount ($) Construct a scatterplot. Choose the correct graph below. O A. 25- 30 C ● ·· Bill Amount (S) 32.25 49.72 87.12 101.52 66.52 104.21 4.25 7.70 7.90 11.83 7.08 11.35 120 Q M O B. Tip Amount ($) 25- ++++ 30 .. Bill Amount (S) 120 Q Q M C O C. Tip Amount ($) 25- 0+ 30 ● ·· Bill Amount ($) 120 Q Q O D. ip Amount ($) 25- to 0- 30 · Bill Amount (S) 120 Q Q Uuse 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?
- Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given rrepresents a significant linear correlation. Use a significance level of 0.05. r = -0.816, n =5 O A. Critical values: r=0.950, significant linear correlation OB. Critical values: r= ±0.878, significant linear correlation C. Critical values: r= ±0.878, no significant linear correlation O D. Critical values: r= ±0.950, no significant linear correlationThe response of a colorimetric test for glucose was checked with the aid of standard glucose solutions. Calculate the correlation coefficient. Show detailed calculation.estion 3 of 38 university and gathers their freshman year GPA data and the high school SAI score reported on each of their college applications. He produces a scatterplot with SAT scores on the horizontal axis and GPA on the vertical axis. The data has a linear correlation coefficient of 0.506701. Additional sample statistics are summarized in the table below. Variable Sample Sample standard Variable description mean deviation high school SAT score x 1504.291401 Sx = 105.782904 %3D y freshman year GPA y = 3.240805 Sy = 0.441205 r = 0.506701 slope 0.002113 Determine the y-intercept, a, of the least-squares regression line for this data. Give your answer precise to at least four decimal places. tems of use Thelp about us குசங் careers 2:30 PM 10/24/20 o耳 国 @ hp
- Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of α=0.01. If everyone were to tip with the same percentage, what should be the value of r? Bill (dollars) 34.14 47.51 85.27 88.36 66.73 105.33 Tip (dollars) 3.51 5.55 16.44 17.42 6.69 13.97Please help this is a practice question it is not for a grade so please answer the question thanks :-)Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r=0.543, n=25 O A. Critical values: r = ±0.396, no significant linear correlation OB. Critical values: r = ±0.487, significant linear correlation OC. Critical values: r = ±0.487, no significant linear correlation OD. Critical values: r = ±0.396, significant linear correlation
