**Second Paired Data Set**| \( x \) | \( y \) ||:------:|:------:|| 5 | 8 || 9 | 10 || 11 | 13 || 17 | 19 |**Problem 38**: Use the Second Paired Data Set to find the correlation coefficient \( r \).- A. 0.937- B. 0.957- C. 0.967- D. 0.987This set of paired data lists two variables \( x \) and \( y \) in a table format. The task is to calculate the correlation coefficient, which measures the strength and direction of a linear relationship between the variables. You are required to select the correct correlation coefficient from the given options: A, B, C, or D.

Given second paired Data set is x y 5 8 9 10 11 13 17 19

Answered: Second Paired Data Set 8 9. 10 11 13 17…

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 data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. Calculate the correlation coefficient,r. Number of absences, x 1 4 7 5 10 3 16 9 Final Grade, y 92 80 74 76 65 86 49 70 76 O A. -0.991 O B. -0.888 OC. - 0.899 O D. - 0.918
The data show the crash fatality rate when there are certain metric tons of lemon imports. Lemon Imports 230 265 358 480 530 Crash Fatality Rate 14.9 14.7 14.4 14.3 13.0 (Round to the nearest ten thousandths (4 decimal places) a. Construct and interpret a scatterplot for the data above. (Label: the x and y axis, title, units) b. Calculate and Interpret the linear correlation coefficient c. Find the equation of the regression line d. Graph and label the equation of the regression line on the scatterplot from (a) e. Find the best predicted crash fatality rate for a year in which there are 500 metric tons of lemon imports.
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant negative linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. Ticket Price Attendence 114 10 180 14 158 18 98 22 98 26 110 30 92 34 91 38 88 Ho: p = 0 На: р <0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) a O Greater than a
Use the given data below. x y 2.3 3.9 4 1.4 2.9 3.5 4.7 5 Compute the linear correlation coefficient. The linear correlation coefficient for the four pieces of data is _______. (Round to three decimal places as needed).
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. Ticket Price Attendence 6 140 10 129 14 126 18 164 22 150 26 179 30 186 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant positive linear correlation…
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 125 10 147 14 193 18 165 22 125 26 110 30 187 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a significant negative linear correlation…
I need correlation coefficient ,test statistic , p value & conclusion pls help I need in an hour
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?
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price 6 10 14 18 22 26 30 r= Ho: p= 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value= Attendence 151 146 146 145 The p-value is 138 137 137 O Less than (or equal to) a O Greater than a The p-value leads to a decision to Accept Ho Reject Ho Do Not Reject Ho The conclusion is There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a significant linear correlation between ticket price and attendance.
d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
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Second Paired Data Set 8 9. 10 11 13 17 19 38. Use the Second Paired Data Set. Find the correlation coefficient r. A. 0.937 B. 0.957 С. 0.967 D. 0.987