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# of houxSS Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. pent Studying planatory A) 75.2 C) 78.1 2) Calculate the linear correlation coefficient for the data below. 이라쉬위하읽하위 -2 7. 3. 6. 15 y A) -0.994 C) -0.671 10 -2 B)-0.885 D) -0.778 3) Which of the following values could not represent a correlation coefficient? Explain. A) -1 B) 1.032 D) 0 C) 0.927 Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. 4) Find the equation of the regression line for the given data. Round values to the thousandth. -5|-3| 4 | 1 11 6 -6 -1 3 -4 -4-5 8 -1 |-2| 0 х y 3 4 A) y = 0.758x + 1.885 %3D B) y= 1.885x - 0.758 C) y= -1.885x + 0.758 D) y= -0.758x – 1.885 5) The coefficient of correlation between x and y is r = 0.59. Calculate the coefficient of determination R2. Round R2 to the nearest hundredth. B) 0.41 D) 0.59 A) 0.35 C) 0.65 Use the given data to find the best predicted value of the response variable. 6) The regression equation relating dexterity scores (x) and productivity scores (y) for the employees of a company is y = 5.50 + 1.91x. What is the best predicted productivity score for a person whose dexterity score is 33? A) 183.41 C) 58.20 B) 56.30 D) 68.53

# of houxSS Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. pent Studying planatory A) 75.2 C) 78.1 2) Calculate the linear correlation coefficient for the data below. 이라쉬위하읽하위 -2 7. 3. 6. 15 y A) -0.994 C) -0.671 10 -2 B)-0.885 D) -0.778 3) Which of the following values could not represent a correlation coefficient? Explain. A) -1 B) 1.032 D) 0 C) 0.927 Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. 4) Find the equation of the regression line for the given data. Round values to the thousandth. -5|-3| 4 | 1 11 6 -6 -1 3 -4 -4-5 8 -1 |-2| 0 х y 3 4 A) y = 0.758x + 1.885 %3D B) y= 1.885x - 0.758 C) y= -1.885x + 0.758 D) y= -0.758x – 1.885 5) The coefficient of correlation between x and y is r = 0.59. Calculate the coefficient of determination R2. Round R2 to the nearest hundredth. B) 0.41 D) 0.59 A) 0.35 C) 0.65 Use the given data to find the best predicted value of the response variable. 6) The regression equation relating dexterity scores (x) and productivity scores (y) for the employees of a company is y = 5.50 + 1.91x. What is the best predicted productivity score for a person whose dexterity score is 33? A) 183.41 C) 58.20 B) 56.30 D) 68.53

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
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# of houxSS Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. pent Studying planatory A) 75.2 C) 78.1 2) Calculate the linear correlation coefficient for the data below. 이라쉬위하읽하위 -2 7. 3. 6. 15 y A) -0.994 C) -0.671 10 -2 B)-0.885 D) -0.778 3) Which of the following values could not represent a correlation coefficient? Explain. A) -1 B) 1.032 D) 0 C) 0.927 Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. 4) Find the equation of the regression line for the given data. Round values to the thousandth. -5|-3| 4 | 1 11 6 -6 -1 3 -4 -4-5 8 -1 |-2| 0 х y 3 4 A) y = 0.758x + 1.885 %3D B) y= 1.885x - 0.758 C) y= -1.885x + 0.758 D) y= -0.758x – 1.885 5) The coefficient of correlation between x and y is r = 0.59. Calculate the coefficient of determination R2. Round R2 to the nearest hundredth. B) 0.41 D) 0.59 A) 0.35 C) 0.65 Use the given data to find the best predicted value of the response variable. 6) The regression equation relating dexterity scores (x) and productivity scores (y) for the employees of a company is y = 5.50 + 1.91x. What is the best predicted productivity score for a person whose dexterity score is 33? A) 183.41 C) 58.20 B) 56.30 D) 68.53
Transcribed Image Text:# of houxSS Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. pent Studying planatory A) 75.2 C) 78.1 2) Calculate the linear correlation coefficient for the data below. 이라쉬위하읽하위 -2 7. 3. 6. 15 y A) -0.994 C) -0.671 10 -2 B)-0.885 D) -0.778 3) Which of the following values could not represent a correlation coefficient? Explain. A) -1 B) 1.032 D) 0 C) 0.927 Linear Correlation Coefficient (r) and and Coefficient of Determination, r-squared. 4) Find the equation of the regression line for the given data. Round values to the thousandth. -5|-3| 4 | 1 11 6 -6 -1 3 -4 -4-5 8 -1 |-2| 0 х y 3 4 A) y = 0.758x + 1.885 %3D B) y= 1.885x - 0.758 C) y= -1.885x + 0.758 D) y= -0.758x – 1.885 5) The coefficient of correlation between x and y is r = 0.59. Calculate the coefficient of determination R2. Round R2 to the nearest hundredth. B) 0.41 D) 0.59 A) 0.35 C) 0.65 Use the given data to find the best predicted value of the response variable. 6) The regression equation relating dexterity scores (x) and productivity scores (y) for the employees of a company is y = 5.50 + 1.91x. What is the best predicted productivity score for a person whose dexterity score is 33? A) 183.41 C) 58.20 B) 56.30 D) 68.53
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