the coefficient of determination of a data set of points is .753 and the slope of...
The coefficient of determination of a set of data points is 0.598 and the slope of the regression line is 3.22 Determine the linear correlation coefficient of the data. What is the linear correlation coefficient? r=?
The coefficient of determination of a set of data points is 0.825 and the slope of the regression line is -3.85. Determine the linear correlation coefficient of the data. What is the linear correlation coefficient? r=| | (Round to three decimal places as needed.)
The coefficient of determination of a set of data points is 0.76 and the slope of the regression line is-8.76. Determine the linear correlation coefficient of the data
The coefficient of determination of a set of data points is 0.559 and the slope of the regression line is 4.45. Determine the linear correlation coefficient of the data. What is the linear correlation coefficient? requals=nothing (Round to three decimal places as needed.)
Q2 The coefficient of determination of a set of data points is 0.577 and the slope of the regression line is What is the linear correlation coefficient? r (Round to three decimal places as needed.) 3.48. Determine the linear correlation coefficient of the data.
Use formula to find the coefficient of determination for the set of data points. 12. (20 pts) Compute the linear correlation coefficient of the following set of data points: 1191 14181 5141 166 191
13. (2 pts) For a set of data points, the linear correlation coefficient = 0.91. Find the coefficient of determination. Use formula to find the linear correlation coefficient.
14. (2 pts) For a set of data points, the linear correlation coefficient = -0.54. Find the coefficient of determination. Use formula to find the linear correlation coefficient.
The coefficient of determination for a data set that RN/LPN hours per resident x to quality of life score y is 93.0%. Interpret this statement. a. The least-squares regression equation does not explain 93.0% of the variation in quality of life score. b. The least-squares regression equation explains 93.0% of the variation in quality of life score. c. The least-squares regression equation explains 93.0% of the variation in RN/LPN hours per resident. d. The least-squares regression equation does not explain...
4. Heights of Presidents and Runners-Up data set: determine correlation coefficient r, determine of the correlation is significant. Winner 69.5 73 73 74 74.5 74.5 71 71 a correlation coefficient r = Runner-up 72 69.5 70 68 74 74 73 76 b. significant (yes or no)? 5. Casino Size and Revenue data set: determine correlation coefficient r, determine if the correlation is significant Size 160 227 140 144 161 147 141 a. correlation coefficient Revenue 189 157 140 127 123...