1. Test review

2. Writing equations
Write the equation of the line that goes through the point (-1, 4) and (2, 0)

3. Writing equations
Write the equation parallel to the line y= ½x-1 that goes through the point (2, -7)

4. Writing equations
Write the equation of the line perpendicular to the line shown.

5. Summary Writing equations of lines Parallel= same slope
Calculate slope
Plug in point to find y-int “b”
Parallel= same slope
Perpendicular= opposite reciprocal slope

6. Applications
Bananas cost $0.70 each, and peaches cost $0.90 each. If you want to spend exactly $21.20 at the stand and you need to buy 11 bananas, how many peaches can you buy? 
Let b represent the number of bananas, and p represent the number of peaches.

7. applications
Suppose that the water level of a river is 34 feet and that it is receding at a rate of 0.5 foot per day. Write an equation for the water level, L, after d days. In how many days will the water level be 26 feet?

8. applications
In order to join a movie rental service, there is an initial $60 fee, then a $5 fee every month. Write an equation in slope-intercept form modeling this situation, then use it to find out how much you will have paid after 10 months of this service.

9. Applications
A caterer charges $120 to cater a party for 15 people and $200 for 25 people. Assume that the cost, y, is a linear function of the number of x people. Write an equation in slope-intercept form for this function. What does the slope represent? How much would a party for 40 people cost?

10. applications
The Ramey family bought 4 sandwiches and 3 salads. They spent $24. Let x be the cost of a sandwich and y be the cost of a salad. If each sandwich cost $3.75, how much did each salad cost?

11. summary Equations in slope intercept form Equations in standard form
Find two data points  calculate slope, y-int
One time “fee” = b, slope/ rate of change
Equations in standard form
Two comparative quantities
Ax + by = c, where c is a sum or total

12. Linear regression
Construct a scatter plot with line of best fit for the following data. Find the equation of the line of best fit. X Y 1 2 3 4 6 5 7

13. Linear regression
Know difference between interpolation and extrapolation
Use equation of best fit to interpolate and/or extrapolate