d) Compute the 95% confidence interval for “pcol”.   e.)  Do the results from your confidence interval (3d) and hypothesis test (3c) agree? Why or why not?  f) Interpret the constant (mathematically and statistically).

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d) Compute the 95% confidence interval for “pcol”.

 

e.)  Do the results from your confidence interval (3d) and hypothesis test (3c) agree? Why or why not? 

f) Interpret the constant (mathematically and statistically).

3. Next you run a regression: test scores (tscores) on the school's percent of parents with a
college degree or higher (pcol). The results are as follows:
• reg tscore pcol
Source
df
MS
Number of obs
4,889
F(1, 4887)
= 10936.88
Model
274373.506
1 274373.506
Prob > F
0.0000
Residual
122600.187
4,887 25.0870036
R-squared
0.6912
Adj R-squared
0.6911
Total
396973.693
4,888
81.2139307
Root MSE
5.0087
tscore
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
pcol
.3211064
.0030705
0.000
_cons
66.22774
.1134938
583.54
0.000
66.00524
66.45024
Transcribed Image Text:3. Next you run a regression: test scores (tscores) on the school's percent of parents with a college degree or higher (pcol). The results are as follows: • reg tscore pcol Source df MS Number of obs 4,889 F(1, 4887) = 10936.88 Model 274373.506 1 274373.506 Prob > F 0.0000 Residual 122600.187 4,887 25.0870036 R-squared 0.6912 Adj R-squared 0.6911 Total 396973.693 4,888 81.2139307 Root MSE 5.0087 tscore Coef. Std. Err. t P>|t| [95% Conf. Interval] pcol .3211064 .0030705 0.000 _cons 66.22774 .1134938 583.54 0.000 66.00524 66.45024
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