In the analysis the explained sum of squares (SSE) is equal to .346 O 323.70 551.39 O 875.09

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The
variables used are:
fare-avg price of a one-way fare, in dollars
dist-distance of the flight, in miles
.reg lfare ldist
Source
Model
Residual
Total
O 346
lfare
ldist
_cons
323.70
ss
O 551.39
O 875.09
551.391705
875.094374
df
1
4,594
4,595
MS
323.702668
.120024315
190444913
Number of obs
F(1, 4594)
Prob > F
R-squared
In the analysis the explained sum of squares (SSE) is equal to
Adj R-squared
Root MSE
Coef. Std. Err.
t P>|t|
.4025646 .0077517 51.93 0.000
2.399834 .0521601 46.01 0.000
=
=
4,596
2696.98
0.0000
0.3699
0.3698
-34645
[95% Conf. Intervall
.3873676 .4177617
2.297575 2.502093
Transcribed Image Text:Use the Stata output below to answer the following question. The data used in this analysis is from a sample of airlines. The variables used are: fare-avg price of a one-way fare, in dollars dist-distance of the flight, in miles .reg lfare ldist Source Model Residual Total O 346 lfare ldist _cons 323.70 ss O 551.39 O 875.09 551.391705 875.094374 df 1 4,594 4,595 MS 323.702668 .120024315 190444913 Number of obs F(1, 4594) Prob > F R-squared In the analysis the explained sum of squares (SSE) is equal to Adj R-squared Root MSE Coef. Std. Err. t P>|t| .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 = = 4,596 2696.98 0.0000 0.3699 0.3698 -34645 [95% Conf. Intervall .3873676 .4177617 2.297575 2.502093
Expert Solution
Step 1

Given that 

SStotal = 875.094374

dfModel = 1 , dfE = 4594

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