The height and grade point average of 50 randomly selected students are recorded. The following Python code is used to fit a simple linear regression model using data collected from the sample that is stored in the gpa.csv file. Which of the two variables, “gpa” or “height”, is the response variable? Which is the predictor variable? Select one. import pandas as pd import statsmodels.formula.api as smf scores = pd.read_csv('http://data-analytics.zybooks.com/gpa.csv') model = smf.ols(gpa ~ height', scores).fit() Question 4 options: gpa and height are both response variables. height is the response variable and gpa is the predictor variable. gpa is the response variable and height is the predictor variable. gpa and height are both predictor variables.
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 height and grade point average of 50 randomly selected students are recorded. The following Python code is used to fit a simple linear regression model using data collected from the sample that is stored in the gpa.csv file. Which of the two variables, “gpa” or “height”, is the response variable? Which is the predictor variable? Select one.
import pandas as pd
import statsmodels.formula.api as smf
scores = pd.read_csv('http://data-analytics.zybooks.com/gpa.csv')
model = smf.ols(gpa ~ height', scores).fit()
Question 4 options:
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gpa and height are both response variables. |
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height is the response variable and gpa is the predictor variable. |
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gpa is the response variable and height is the predictor variable. |
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gpa and height are both predictor variables. |
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