A group of students looked to see if there was a linear relationship between the number of hours spent on social media per day (x) and number of sit-ups a person can do in one minute (y). After gathering data from their class, the students ran LinReg regression on their calculator, which gave them: y = ax + b a = -1.794 b = 36.334 Based on that result, how many sit-ups would you expect a person who spends 6 hours of on social media to be able to do in one minute? Round to the nearest whole number of sit-ups.
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.
A group of students looked to see if there was a linear relationship between the number of hours spent on social media per day (x) and number of sit-ups a person can do in one minute (y).
After gathering data from their class, the students ran LinReg regression on their calculator, which gave them:
y = ax + b
a = -1.794
b = 36.334
Based on that result, how many sit-ups would you expect a person who spends 6 hours of on social media to be able to do in one minute? Round to the nearest whole number of sit-ups.
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