You estimated a regression with the following output. Source | SS df MS Number of obs = 310 -------------+---------------------------------- F(1, 308) = 5951.51 Model | 182258361 1 182258361 Prob > F = 0.0000 Residual | 9432159.79 308 30623.8954 R-squared = 0.9508 -------------+---------------------------------- Adj R-squared = 0.9506 Total | 191690521 309 620357.672 Root MSE = 175 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 18.84872 .2443253 77.15 0.000 18.36796 19.32948 _cons | 38.37008 15.185 2.53 0.012 8.490623 68.24953 ------------------------------------------------------------------------------ Which of the following is the estimated regression line? Group of answer choices a Y = 38.37 + 18.85*X b Y = 18.85 + 38.37*X c Y = 0.24 + 15.18*X d Y = 15.18 + 0.24*X
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.
You estimated a regression with the following output.
Source | SS df MS Number of obs = 310
-------------+---------------------------------- F(1, 308) = 5951.51
Model | 182258361 1 182258361 Prob > F = 0.0000
Residual | 9432159.79 308 30623.8954 R-squared = 0.9508
-------------+---------------------------------- Adj R-squared = 0.9506
Total | 191690521 309 620357.672 Root MSE = 175
------------------------------------------------------------------------------
Y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
X | 18.84872 .2443253 77.15 0.000 18.36796 19.32948
_cons | 38.37008 15.185 2.53 0.012 8.490623 68.24953
------------------------------------------------------------------------------
Which of the following is the estimated regression line?
a Y = 38.37 + 18.85*X
b Y = 18.85 + 38.37*X
c Y = 0.24 + 15.18*X
d Y = 15.18 + 0.24*X
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