<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:
-9n^6
Step-by-step explanation:
(−9n^3)(n^3)
=(−9) * n^3 * n^3
=−9 * n^6
=−9n^6
Answer:
Please see attachment
Step-by-step explanation:
Please see attachment
