Summary Statistics Switch Variables Statistic medianhouseholdincome casesper100k Мean 65057.304 652.217 Standard Deviation 11542.583 435.999 Sample Size 23 Correlation -0.115 Slope -0.0044 Intercept 935.699 Scatterplot Controls O Show Regression Line DO 45000 50000 55000 60000 65000 70000 75000 80000 85000 90000
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.
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explain why.
Interpret the slope in context."
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Summary Statistics Switch Variables
Statistic
medianhouseholdincome casesper100k
Mean
65057.304
652.217
Standard
1500
11542.583
435.999
Deviation
Sample Size
23
Correlation
-0.115
Slope
-0.0044
1000
Intercept
935.699
Scatterplot Controls
Show Regression Line
500
0.
45000
50000
55000
60000
65000
70000
75000
80000
85000
90000
medianhouseholdincome
casesper100k"
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