1. 1.) Write an equation for the line containing the following: y-intercept of 6 and has a slope of ¼. 2.) Find the x-intercept and y-intercept of 4x + 2y = 20. 3.) Identify the form of the line for each equation: a.) 6x-3y = 12 b.) y = ⅓x -4 c.) y–3 = 4(x-1) 4.) Write an equation for the line containing the following points: (2,6) and (-4,12). 5.) (ACT Type) Given the linear equations 2m – 5 = 19 and 18 – 3n = 3, what is the sum of m and n?

2. Lesson 1.5 Scatter Plots and Least Squares Lines

3.  I’ll be after school today.  Test Corrections, remediation packet.  Re-Test in test makeup room.

4. Create a scatter plot and draw an informal inference about any correlation between the variables. Use a graphing calculator to find an equation for the least-squares line and use it to make predictions of estimates.

5. A scatter plot below uses the above data with the calculus midterm score on the Y-axis and SAT score on the X-axis. Scatter Plot of the Test scores We can see that the scatter plots can be useful to find any relationship that may exist among the data. Also, the scatter plots are helpful in analyzing the data and the errors in the linear regression analysis can be found easily.

8. 2nd To set up the calculator to do statistics operations… - Scroll down and turn To set up the coordinate plane “window - Set the dimensions for the x-axis and y-axis **Leave the x scale and y scale at 1 ** To set up the calculator to draw a scatter plot: then hit, Then choose, 0 Diagnostics ON window Y=1: Plot 1 … On On L1L2 ▫ 2nd

9. Data: Steps on how to CLEAR a list in your calculators: Steps on how to enter the information in your calculators: Enter the x-values and y-values. You must hit “ENTER” after each number. Do not scroll down or you will get an error message. To see the scatter plot, hit To calculate the least-squares line (line that fits the data), hit Choose Then hit X246810 Y116847 StatEnter4 clr List1,2Enter Stat1 edit Entergraph StatCALC 4 LinReg (ax +b) Enter 2nd

10. y=ax + b a = -.5 (slope) b= 10.2 (y-intercept) r= -.61 ( The correlation coefficient indicates how closely the data points cluster around the least squares line.) y= -.5x + 10.2 (The equation of the least-squares line.)

11. Data: Don’t forget to change your window to correspond with the data! y= ax + b a = 1.89 (slope) b= 14.75(y-intercept) r= 0.99 (The correlation coefficient indicates how closely the data points cluster around the least squares line.) y= 1.89x + 14.75 x02367912 y14192226 3238

12. Data: Don’t forget to change your window to correspond with the data! Let x = the number of years after 1980 y= ax + b a = 4.57 (slope) b= 84.29(y-intercept) r= 0.99 (The correlation coefficient indicates how closely the data points cluster around the least squares line.) y= 4.57x + 84.29 X (year) 1980198219841986198819901992 Y (CPI)8297104110118131140

13. Lesson 1.5 Pgs. 40-41 (9-11,13-20)