Question 8 In practice, for larger systems, one never solves a linear system by hand as there are software packages that can do this for you - such as numpy in Python.

Use this code block to see numpy invert a matrix.

You can try to invert any matrix you like. Try it out on your answers to the previous question.

In general, one shouldn't calculate the inverse of a matrix unless absolutely necessary. It is more computationally efficient to solve the linear algebra system if that is all you need.

Use this code block to solve the following linear system with numpy. Ar=sA \mathbf{r} = \mathbf{s}Ar=s,

4623412813abc=972

The data shown in the table below represents the weight, in pounds, of a little girl, recorded each year on her birthday. age (in years) weight (in pounds) 2 32 6 47 7 51 4 40 5 43 3 38 8 60 1 23 part a: create a scatter plot to represent the data shown above. sketch the line of best fit. label at least three specific points on the graph that the line passes through. also include the correct labels on the x-axis and y-axis. part b: algebraically write the equation of the best fit line in slope-intercept form. include all of your calculations in your final answer. part c: use the equation for the line of best fit to approximate the weight of the little girl at an age of 14 years old.

Abox of chocolates costs $7. which equation relates the number of boxes sold (x) and total cost of the boxes sold (y)?

What does x = in this equation x+3+2x=x+5