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 fare ldist Source Model Residual 551.391705 Total lfare ldist cons O.1200 .3465 SS O.3698 O 551.3917 875.094374 df MS 1 323.702668 4,594.120024315 4,595 190444913 Coef. Std. Err. The standard error of the regression is equal to, Number of obs F(1, 4594) Prob F R-squared Adj R-squared Root MSE .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 t P>|t| [95% Conf. Intervall .4177617 2.502093 4,596 2696.98 0.0000 .3873676 2.297575 0.3699 0.3698 .34645
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 fare ldist Source Model Residual 551.391705 Total lfare ldist cons O.1200 .3465 SS O.3698 O 551.3917 875.094374 df MS 1 323.702668 4,594.120024315 4,595 190444913 Coef. Std. Err. The standard error of the regression is equal to, Number of obs F(1, 4594) Prob F R-squared Adj R-squared Root MSE .4025646 .0077517 51.93 0.000 2.399834 .0521601 46.01 0.000 t P>|t| [95% Conf. Intervall .4177617 2.502093 4,596 2696.98 0.0000 .3873676 2.297575 0.3699 0.3698 .34645
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 fare ldist
Source
Model
Residual
Total
lfare
ldist
_cons
O.1200
O.3465
O.3698
SS
551.3917
551.391705
875.094374
df
MS
1 323.702668
4,594 .120024315
4,595 .190444913
Coef. Std. Err.
The standard error of the regression is equal to,
Number of obs =
F(1, 4594)
Prob > F
=
R-squared
Adj R-squared
Root MSE
t P>|t|
.4025646 .0077517
51.93 0.000
2.399834 .0521601 46.01 0.000
4,596
2696.98
.3873676
2.297575
0.0000
0.3699
0.3698
.34645
[95% Conf. Intervall
.4177617
2.502093
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