The scatter plot shows the time spent texting and the time spent exercising by each of 24 students last week. Also shown is the line of best fit for the data. Fill in the blanks below. 13 - 12- 11. 10. Time spent 9. exercising (in hours) 5 4- 3. 2. 0. 6 8. 10 Time spent texting (in hours) (a) For these 24 students, as the time spent texting increases, the time spent exercising tends to ? (b) For these 24 students, there is correlation between time spent texting and time spent exercising. (c) Using the line of best fit, we would predict that a student texting for 6 hours would exercise for approximately ? hours.
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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