The following output summarizes the results of a simple linear regression of a response variable Y on an explanatory variable X. Coefficients: Estimate Std. Error t value Pr(>|t|) 67.59 (Intercept) 9.9036 0.1465 2.0111 0.1337 <2e-16 15.05 <2e-16 One of the values in the data set had a value of X of 2.0 and a value of Y of 13.6. What is the value of the residual associated with this observation? (Give your response to at least 3 decimal places. Give only your numeric response, and not any extra characters or symbols.)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The following output summarizes the results of a simple linear regression of a
response variable Y on an explanatory variable X.
Coefficients:
Estimate Std. Error t value Pr(>It])
(Intercept) 9.9036 0.1465
67.59
<2e-16
2.0111 0.1337 15.05
<2e-16
One of the values in the data set had a value of X of 2.0 and a value of Y of 13.6.
What is the value of the residual associated with this observation?
(Give your response to at least 3 decimal places. Give only your numeric response,
and not any extra characters or symbols.)
Your Answer:
Your Answer
Transcribed Image Text:The following output summarizes the results of a simple linear regression of a response variable Y on an explanatory variable X. Coefficients: Estimate Std. Error t value Pr(>It]) (Intercept) 9.9036 0.1465 67.59 <2e-16 2.0111 0.1337 15.05 <2e-16 One of the values in the data set had a value of X of 2.0 and a value of Y of 13.6. What is the value of the residual associated with this observation? (Give your response to at least 3 decimal places. Give only your numeric response, and not any extra characters or symbols.) Your Answer: Your Answer
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