Using the California School data set from your textbook,you decide to run a regression of the average reading score (ScrRead)on the average mathematics score (ScrMaths).The result is as follows,where the numbers in parenthesis are homoskedasticity only standard errors: = 8.47 + 0.9895×ScrMaths
(13.20)(0.0202)
N = 420,R2 = 0.85,SER = 7.8
You believe that the average mathematics score is an unbiased predictor of the average reading score.Consider the above regression to be the unrestricted from which you would calculate SSRUnrestricted .How would you find the SSRRestricted? How many restrictions would have to impose?

Question

Using the California School data set from your textbook,you decide to run a regression of the average reading score (ScrRead)on the average mathematics score (ScrMaths).The result is as follows,where the numbers in parenthesis are homoskedasticity only standard errors:  = 8.47 + 0.9895×ScrMaths
(13.20)(0.0202)
N = 420,R2 = 0.85,SER = 7.8
You believe that the average mathematics score is an unbiased predictor of the average reading score.Consider the above regression to be the unrestricted from which you would calculate SSRUnrestricted .How would you find the SSRRestricted? How many restrictions would have to impose?

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The Answer of Using the California School data set from your textbook,you decide to run a regression of the average reading score (ScrRead)on the average mathematics score (ScrMaths).The result is as follows,where the numbers in parenthesis are homoskedasticity only standard errors:  = 8.47 + 0.9895×ScrMaths
(13.20)(0.0202)
N = 420,R2 = 0.85,SER = 7.8
You believe that the average mathematics score is an unbiased predictor of the average reading score.Consider the above regression to be the unrestricted from which you would calculate SSRUnrestricted .How would you find the SSRRestricted? How many restrictions would have to impose?

Using the California School Data Set from Your Textbook,you Decide