C. y 60 500 40 30 20 10 1,0 20 30 4,0 X D. y 60 500 40 30 20 10 10 2,0 30 4,0 X - Select your answer b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? - Select your answer c. Compute the sample covariance (to 1 decimal and enter negative value as negative figure). Interpret the sample covariance. - Select your answer d. Compute the sample correlation coefficient (to 3 decimals and enter negative value as negative figure). Interpret the sample correlation coefficient. Hint: If the correlation coefficient is greater than 0.80 or less than -0.80, there is a strong relationship. - Select your answer
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b.What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? The relationship is negative c. Compute the sample covariance (to 1 decimal and enter negative value as negative figure). d. Compute the sample correlation coefficient (to 3 decimals and enter negative value as negative figure). What can you conclude, based on your computation of the sample correlation coefficient? There is a strong negative linear relationship
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What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative linear relationship between x and y. c. Try to approximate the relationship between x and y by drawing a straight line through the data. Many different straight lines can be drawn to provide a linear approximation of the relationship between x and y. d. Develop the estimated regression equation by computing the values of b0 and b1 using equations: (Enter negative values as negative figure) Ĺ· = + x (to 2 decimals) e. Use the estimated regression equation to predict the value of y when x = 19. Ĺ· = (to 2 decimals)
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