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 milgal). 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 V because it has the best combination of V Pvalue,and adjusted R. (Type integers or decimals. Do not round.)
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.
![Adjusted R2
0.933
0.721
Regression Equation
CITY = 6.82 - 0.00132WT - 0.252DISP + 0.656HWY
R2
Predictor (x) Variables P-Value
WT/DISP/HWY
0.000
0.943
WT/DISP
0.000
0.749
CITY = 37.5-0.00158WT - 1.32DISP
WT/HWY
0.000
0.941
0.934
CITY = 6.67 - 0.00158WT +0.668HWY
DISP/HWY
0.927
CITY = 1.86 - 0.627DISP +0.702HWY
CITY = 41.6 -0.00603WT
0.000
0.934
WT
0.000
0.713
0.698
DISP
0.000
0.659
0.641
CITY = 28.5 - 2.97DISP
HWY
0.000
0.925
0.921
CITY = -3.12+0.822HWY](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff1dc54f5-20e9-4095-ac16-11c5f8c830cd%2F54c2b9fa-8b9e-4bb3-b08f-2693cd6f8901%2Fdsreunm_processed.jpeg&w=3840&q=75)
![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
mi/gal). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why?
E Click the icon to view the table of regression equations.
The best variable is
because it has the best combination of
V P-value.
V adjusted R2,N.
and
(Type integers or decimals. Do not round.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff1dc54f5-20e9-4095-ac16-11c5f8c830cd%2F54c2b9fa-8b9e-4bb3-b08f-2693cd6f8901%2F3ie9mbk_processed.jpeg&w=3840&q=75)
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