In: Economics
Q6
This is from a dataset of 420 CA school districts.
We estimate the relationship between the student-teacher ratio (X1=STR) and test scores (Y=TestScore), controlling for the percentage of English learners in the classroom (X2=PctEL):
TestScore=686.0-1.10*STR-0.65*PctEL
The standard error of beta0hat is 8.7. The standard error of beta1hat is 0.43. The standard error of beta2hat is 0.31.
Test the statistical significance of STR using alpha=0.05.
What is your p-value? Round to four decimal places.
Y=TestScore
X1=STR=student-teacher ratio
X2=PctEL=percentage of English learners in the classroom
TestScore=686.0-1.10*STR-0.65*PctEL
The standard error of beta0hat is 8.7. The standard error of beta1hat is 0.43. The standard error of beta2hat is 0.31.
Ho: beta1 = 0
Ha: beta1 <> 0
The t-statistic of beta1 of STR = (-1.10-0)/0.43
= -2.55814
The absolute value of t-statistic = 2.55814
The number of observations = n = 420
The degree of freedom = n - 3 = 417
The critical t-statistic at 417 degree of freedom using =tinv() excel function is 1.965669
Thus, since, the actual t-statistic is greater than the critical t-statistic, the STR is statistically significant at alpha=0.05
----------------------------------------------------------------------------------------------------------------------------
The p-value of the actual t-statistic is given by =tdist() excel function
=tdist(2.55814,417,2)
= 0.010876
=0.0109 (round to four decimal places)