Question The following Stata output refers to a regression for the determinants of the price of cars for a sample of 74 cars in a particular year. The variable definitions are as follows: price = price of the car mpg = miles per gallon (fuel efficiency) headroom = car headroom in inches Required 1. Interpret the following from the Stata output: 1a. Coefficients on mpg and headroom, and their t-statistics and p-values. 1b. R-squared                                                                                          1c. The F-statistic                                                                                         2. What is the expected price for a car with mpg of 37 and a headroom of 3.2?

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The following Stata output refers to a regression for the determinants of the price of cars for a sample of 74 cars in a particular year. The variable definitions are as follows:

price = price of the car

mpg = miles per gallon (fuel efficiency)

headroom = car headroom in inches

Required

1. Interpret the following from the Stata output:

1a. Coefficients on mpg and headroom, and their t-statistics and p-values.

1b. R-squared                                                                                         

1c. The F-statistic                                                                                       

 2. What is the expected price for a car with mpg of 37 and a headroom of 3.2?                                                      

regress price mpg headroom
Source
Model
Residual
Total
price
mpg
headroom
cons
SS
144280501
490784895
635065396
df
2
72140250.4
71 6912463.32
73
Coef. Std. Err.
MS
-259.1057
58.42485
-334.0215
399.5499
12683.31 2074.497
8699525.97
t
Number of obs
F (2, 71)
Prob > F
R-squared
Adj R-squared =
Root MSE
P>|t|
-4.43
0.000
-0.84 0.406
6.11
0.000
=
74
10.44
0.0001
0.2272
0.2054
2629.2
[95% Conf. Interval]
-375.6015 -142.6098
-1130.701
462.6585
8546.885
16819.74
Transcribed Image Text:regress price mpg headroom Source Model Residual Total price mpg headroom cons SS 144280501 490784895 635065396 df 2 72140250.4 71 6912463.32 73 Coef. Std. Err. MS -259.1057 58.42485 -334.0215 399.5499 12683.31 2074.497 8699525.97 t Number of obs F (2, 71) Prob > F R-squared Adj R-squared = Root MSE P>|t| -4.43 0.000 -0.84 0.406 6.11 0.000 = 74 10.44 0.0001 0.2272 0.2054 2629.2 [95% Conf. Interval] -375.6015 -142.6098 -1130.701 462.6585 8546.885 16819.74
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