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(b) Calculate the correlation coefficient. (Round your answer to four decimal places.) r = Interpret its value. This indicates a relatively strong negative correlation. This indicates no correlation. This indicates a relatively strong positive correlation. Does the value of r confirm the trend that you see in the scatterplot? Explain. O Yes, there is a negative correlation. O No, the scatterplot shows a trend, but the correlation coefficient suggests a trend in the opposite direction. O No, the scatterplot shows a trend, but the correlation coefficient is close to 0. O Yes, there is a positive correlation.

(b) Calculate the correlation coefficient. (Round your answer to four decimal places.) r = Interpret its value. This indicates a relatively strong negative correlation. This indicates no correlation. This indicates a relatively strong positive correlation. Does the value of r confirm the trend that you see in the scatterplot? Explain. O Yes, there is a negative correlation. O No, the scatterplot shows a trend, but the correlation coefficient suggests a trend in the opposite direction. O No, the scatterplot shows a trend, but the correlation coefficient is close to 0. O Yes, there is a positive correlation.

MATLAB: An Introduction with Applications
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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(b) Calculate the correlation coefficient. (Round your answer to four decimal places.) r = Interpret its value. This indicates a relatively strong negative correlation. This indicates no correlation. This indicates a relatively strong positive correlation. Does the value of r confirm the trend that you see in the scatterplot? Explain. Yes, there is a negative correlation. No, the scatterplot shows a trend, but the correlation coefficient suggests a trend in the opposite direction. O No, the scatterplot shows a trend, but the correlation coefficient is close to 0. O Yes, there is a positive correlation.
Transcribed Image Text:(b) Calculate the correlation coefficient. (Round your answer to four decimal places.) r = Interpret its value. This indicates a relatively strong negative correlation. This indicates no correlation. This indicates a relatively strong positive correlation. Does the value of r confirm the trend that you see in the scatterplot? Explain. Yes, there is a negative correlation. No, the scatterplot shows a trend, but the correlation coefficient suggests a trend in the opposite direction. O No, the scatterplot shows a trend, but the correlation coefficient is close to 0. O Yes, there is a positive correlation.
Seven special needs students were studied to determine whether a social skills program caused improvement in pre/post measures and behavior ratings. For one such test, these are the pretest and posttest scores for the seven students. 120 110 100 Student Pretest (x) 90 Evan Riley Jamie Charlie Jordan Susie Lori 100 88 90 113 104 91 92 90 USE SALT Posttest (y) 114 88 120 (a) Draw a scatterplot relating the posttest score to the pretest score. y 100 103 93 98 X 95 100 105 110 115 y 115 110 105 100 95 90 90 Do you see any trend? There is a slight negative trend between pretest and posttest scores. There is a strong positive trend between pretest and posttest scores. There is a slight positive trend between pretest and posttest scores. There is a strong negative trend between pretest and posttest scores. 100 110 120 y 115 110 105 L 100 95 90 X 90 100 110 120 X 120 110 100 90 90 95 100 105 110 115 X
Transcribed Image Text:Seven special needs students were studied to determine whether a social skills program caused improvement in pre/post measures and behavior ratings. For one such test, these are the pretest and posttest scores for the seven students. 120 110 100 Student Pretest (x) 90 Evan Riley Jamie Charlie Jordan Susie Lori 100 88 90 113 104 91 92 90 USE SALT Posttest (y) 114 88 120 (a) Draw a scatterplot relating the posttest score to the pretest score. y 100 103 93 98 X 95 100 105 110 115 y 115 110 105 100 95 90 90 Do you see any trend? There is a slight negative trend between pretest and posttest scores. There is a strong positive trend between pretest and posttest scores. There is a slight positive trend between pretest and posttest scores. There is a strong negative trend between pretest and posttest scores. 100 110 120 y 115 110 105 L 100 95 90 X 90 100 110 120 X 120 110 100 90 90 95 100 105 110 115 X
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