3. Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. a) A person's age and the clarity of their vision. b) The number of times a person exercises per week and the amount of time they spend on the phone. c) The number of bedrooms in a home and its selling price. d) Number of covid-19 positive cases Vs Age of a person.
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.
3. Determine if the
a) A person's age and the clarity of their vision.
b) The number of times a person exercises per week and the amount of time they
spend on the phone.
c) The number of bedrooms in a home and its selling price.
d) Number of covid-19 positive cases Vs Age of a person.
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