<h2>
Answer with explanation:</h2>
When there is a linear relationship is observed between the variables, we use linear regression predict the relationship between them.
Also, we predict the values for dependent variable by modelling a linear model that best fits the data by drawing a line Y=a+bX, where X is the explanatory variable and Y is the dependent variable.
In other words: The line of best fit is a line through a scatter plot of data points that best describes the relationship between them.
That's why the regression line referred to as the line of best fit.
Answer:6.25
Step-by-step explanation : ratio of areas = one half :two point five in a half
=1.0:6.25
Answer:
10b= 7.50
7.50-.79=6.71
Step-by-step explanation:
Answer: 1.45833333333
Step-by-step explanation:
