a.State (here) in words the specific meaning of the numerical value of the regression coefficient on engine horsepower, weight and transmission type in terms of what it measures for this problem. Does this coefficient make sense, according to what you would expect for it?
Regression Equation
Transmission(X3)
0(A) MPG (Y) = 55.39 - 0.1437
Horsepower (X1) - 0.00460 Weight (X2)
1(M) MPG (Y) = 51.77 - 0.1437
Horsepower (X1) - 0.00460 Weight (X2)
Coefficients
Term Coef SE Coef
T-Value P-Value VIF
Constant 55.39 2.48
22.35 0.000
Horsepower (X1) -0.1437 0.0401
-3.59 0.001 3.19
Weight (X2) -0.00460 0.00162
-2.84 0.007 3.26
Transmission(X3)
1(M) -3.62 1.28
-2.82 0.007 1.08
For a unit Increase in Horsepower the mileage decreases by 0.14(as it is given negative) provided all other factors are kept fixed.
For a unit Increase in weight the Mileage decreases by 0.004 provided other factors are kept fixed.
For a change in transmission type there is a change of mileage of 3.62 units.
Yes the coefficient makes sense because we expect as Horsepower Increases there is more consumption of fuel and hence decreases the mileage. Also when the weight Increases the Vehichle has to make more efforts to move so the mileage decreases.
So all the coefficients make sense and they are significant as well since their p value is very low.
a.State (here) in words the specific meaning of the numerical value of the regression coefficient on...
a.State
(here)
in words
the specific
meaning of
the numerical
value of the regression
coefficient on engine
horsepower in terms of
what it measuresfor this
problem.
Does this
coefficient make sense, according to what you would expect for
it?
b.State
(here)
in words
the specific
meaning of
the numerical
value of the regression
coefficient on
weight in terms of
what it measures for this
problem.
(In other
words, what does this number measure and how much?)
• Does this
coefficient...
Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 3 2432.5 810.84 44.44 0.000 Horsepower (X1) 1 234.5 234.54 12.85 0.001 Weight (X2) 1 147.2 147.17 8.07 0.007 Transmission(X3) 1 144.9 144.88 7.94 0.007 Error 46 839.3 18.25 Total 49 3271.8 Does the regression coefficient of transmission type have a practical meaning in the context of this problem? Show (here) that this coefficient is numerically equal to SSR/SST. Specifically in this problem,...
9. a. Predict the gasoline mileage for a vehicle that has a 105
horsepower engine, weighs 3380 pounds, and has a manual
transmission.
Manual: MPG (Y) = 51.77 - 0.1437 Horsepower (X1) - 0.00460
Weight (X2)
= 51.77-0.1437(105)-0.00460(3380) = 21.133
b. What is the residual in gasoline mileage between the mpg
calculated in part 9.a and the actual gasoline mileage for this
vehicle as listed in the data table?
c. State two reasons why the result calculated in part 9.a...
a.Overall, is this regression significant? Yes or no?
Explain, including the specific statistic or statistics that were
used and how they were used.
b.Is each individual variable coefficient significant? Yes
or no for each variable. Explain for each variable, including the
specific statistic or statistics that were used and how they were
used.
7.a.State (here) the value of the coefficient of
determination for this model.
b.Show (here) that this coefficient is numerically equal to
SSR/SST.
c.State (here) the value of...
1. For each of the following regression models, write down the X matrix and 3 vector. Assume in both cases that there are four observations (a) Y BoB1X1 + B2X1X2 (b) log Y Bo B1XiB2X2+ 2. For each of the following regression models, write down the X matrix and vector. Assume in both cases that there are five observations. (a) YB1XB2X2+BXE (b) VYBoB, X,a +2 log10 X2+E regression model never reduces R2, why 3. If adding predictor variables to a...