Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the'r' value you get when you do the regression.Xy31.429.42827.924.422.421.920.819.515.311 15.41234567∞000-0891012 11.4

The value of correlation is obtained below as follows: From the information, given that Thus,

Answered: Based on the data shown below,…

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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Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation Coefficient xx 2.6 9.1 8.3 7.9 2.9 4.9 yy 6.2 22.9 24.2 20.1 6.1 15.8 Put your answer here:
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the-high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y D 2. 19.44 3. 19.8 4 16.96 16.42 6. 14.78 7 14.94 8. 12.5
Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the 'r' value you get when you do the regression. x456789101112131415161718 y29.228.0529.928.1525.124.0524.924.7522.823.6522.219.2518.618.1520.6
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 61.1 78.9 58.6 84.5 70.2 58.1 62.3 65.4 64.2 68.9 58 84.1 63.7 70.2 64.6 71.9 68.3 71.5 61.7 77.5 59.3 77.4 64.6 71.2 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)r² = %Based on the data, calculate the regression line (each value to three decimal places)y = x + Predict what value (on average) for the response variable will be obtained from a value of 61.9 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation.What is the predicted response value? (Report answer accurate to one decimal place.)
Run a regression analysis on the following bivariate set of data with y as the response variable. X 109.4 69.8 90 87.5 64.1 59.6 63.1 92.2 74.7 61.5 83.3 80.3 58.9. 57.3 73 y 61.4 51.6 38.6. 83.7 71.5 69.5 35.4 79.9 40.5 Find the correlation coefficient and report it accurate to three decimal places. r= Based on the data, calculate the regression line (each value to three decimal places) y' = X +
K Fit a regression line to the data shown in the chart, and find the coefficient of correlation for the line. Use the regression line to predict life expectancy in the year 2000, where x is the number of decades after 1900. year, x 0 (1900) life expectancy, y 49.1 years 51.4 years 2 (1920) 4 (1940) 53.0 years 6 (1960) 54.2 years 55.2 years 8 (1980) Choose the regression line. OA. y = 0.750x - 49.58 O C. y = 0.750x + 49.58 OB. y=49.58x + 0.750 = 49.58 ○ D. y = The life expectancy in the year 2000, rounded to one decimal place is years.
Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the 'r' value you get when you do the regression. x y 2 8.38 3 6.35 4 7.92 5 4.19 6 5.46 7 4.93 8 3.9
Next Run a regression analysis on the following bivariate set of data with y as the response variable. X y 48.1 41 63.7 62.6 40.1 33.4 49.4 46.3 16.3 -29.1 39.9 27.3 37.1 33.3 48.2 45.4 32.9 11.1 34.9 27.9 44.6 25.5 25.1 Z 23.2 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = % Submit Question
The correlation coefficient r is a measure of how well a regression line fits data. The value of r is always between −1 and 1. If the fit is exact, the value of r is 1 or −1. Values of r near zero indicate a poor fit. Most calculators can be set to display the correlation coefficient.†For the following data set, do the following. x 2 4 6 8 10 y 6 10 22 18 24 Get the regression line. y = Plot the data and the regression line on the same screen. Report the value of the correlation coefficient. (Round your answer to two decimal places.) r =
Please round all answers to 2 decimal places. Given the table below, use your calculator to find the Correlation Coefficient x33.82.52.46.76.8y11.615.112.49.216.216 Put your answer here:

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Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the 'r' value you get when you do the regression. y 1 31.4 2 29.4 28 4 27.9 5 24.4 6 22.4 7 21.9 8 20.8 9 19.5 10 15.3 11 15.4 12 11.4 X W|N 3 45 78