The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in milgal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why? Click the icon to view the table of regression equations. The best variable is (Type integers or decimals. Do not round.) adjusted R?. because it has the best combination of P-value, and
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
![The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY
(fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel
consumption in mil/gal). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why?
Click the icon to view the table of regression equations.
The best variable is
adjusted R?,
because it has the best combination of
P-value,
and
(Type integers or decimals. Do not round.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb07ecaf6-e100-4672-89dd-7221baa58e78%2F21571615-c643-455c-9762-12f58dfe2488%2Faojmxz_processed.jpeg&w=3840&q=75)
![Regression Table
R2 Adjusted R?
Predictor (x) Variables P-Value
WT/DISP/HWY
WT/DISP
WT/HWY
DISP/HWY
Regression Equation
CITY = 6.82 - 0.00133WT - 0.259DISP + 0.651HWY
CITY = 38.3 - 0.00156WT - 1.28DISP
CITY = 6.68 – 0.00156WT +0.673HWY
CITY = 1.81 - 0.621DISP + 0.704HWY
CITY = 42.1- 0.00607WT
0.000
0.000
0.000
0.944
0.934
0.747
0.719
0.941
0.934
0.000
0.936
0.929
WT
0.000
0.712
0.697
DISP
0.000
0.659
0.641
CITY = 29.1 - 2.98DISP
HWY
0.000
0.923
0.919
CITY = - 3.11 + 0.815HWY
Print
Done](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb07ecaf6-e100-4672-89dd-7221baa58e78%2F21571615-c643-455c-9762-12f58dfe2488%2Fxv8w4uk_processed.jpeg&w=3840&q=75)
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