The statistical software output for this problem is:
Hence,
a) r = 0.934
b) r = 0.934
c) Same
For the data shown to the right, determine the linear correlation coefficient using the formulas shown...
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r=0.694 What is the value of the coefficient of determination? r2=______ (Round to four decimal places as needed.) What is the percentage of the total variation that can be explained by the linear relationship between the two variables? Explained variation=______% (Round to two decimal places as...
Use the value of the linear correlation coefficient to find the coefficient of determination and the percentage of the total variation that can be explained by the near relationship between the two variables r=0.316 What is the value of the coefficient of determination? 7- (Round to four decimal places as needed.) What is the percentage of the total variation that can be explained by the linear relationship between the two variables? Explained variation - (Round to two decimal places as...
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r 0.301 What is the value of the coefficient of determination? -(Round to four decimal places as needed.)
Use given below data and additional data point (10.5,9.3) to compute the linear correlation coefficient with the additional data point. The linear correlation coefficient for the five pieces of data is ________ (Round to three decimal places as needed.) Use the given data to complete parts (a) and (b) below. X 2.2 4 2.8 4.6 y 3.8 1.5 3.5 5
What is the correlation coefficient when the point (10.2) is excluded? r = _ (round to three decimal places as needed.) % 10.2.11 Question Help 104• Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (1,10) and find...
A)FIND THE CRITICAL VALUES B)Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) Gross (y) 61 70 95 63 45 47 31 55 195 696 100 142 94 48 Click here to view a table of critical values for the correlation coefficient. a. Find the value of...
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? requals=0.2910.291 Calculate the coefficient of determination. nothing (Round to three decimal places as needed.)
B) critical values C)Is there sufficient evidence to conclude that there is a linear correlation between the two variables? The data below shows the high temperatures and the times (in minutes) runners who won a marathon. Answer parts a-c. Temperature (x) 56 63 47 64 Time (y) 145.687 144.156 144.086 148.362 70 147.244 75 148.207 51 146.538 60 148.892 Click here to view a table of critical values for the correlation coefficient. a. Find the value of the linear correlation...
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, is there sufficient evidence to conclude that there is a linear correlation between overhea widths of seals from photographs and the weights of the seals? 8.2 114 168 24693 209 183 9.8 9.2 8.9 Overhead Width 7.1...
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? = 0.448 Calculate the coefficient of determination (Round to three decimal places as needed.) What does this tell you about the explained variation of the data about the regression line? % of the variation can be explained by the regression line. Round to one decimal place...