1. Tables and graphs taken from Glencoe, Advanced Mathematical Concepts

3. Use the graphing calculator to find a Linear Regression Equation that models this data, rounding to the nearest hundredth. Then find the correlation coefficient and determine the type and strength of the relationship between fat and calories. STAT, EDIT Fat grams in L1 Calories in L2 STAT CALC #4 LinReg Enter L1, L2 Enter Strong Positive

4. Now, use the full equation to estimate the number of calories in a chicken sandwich that is known to contain 21 fat grams. Approx. 472 calories Next Y= VARS #5: Statistics EQ #1: RegEq 2 nd Window (TBLSET) TblStart = 0 ∆Tbl = 1 Indpnt: Ask Depend: Auto 2 nd Graph (Table) X = 21 Y 1 = 472.36 calories

5. Use the equation to estimate the number of fat grams in a food with 400 calories. Approx. 15 fat grams ZOOM 3: Zoom Out Repeat until you see the point of intersection CALC (2 nd TRACE) 5: intersect First curve? Enter Second curve? Enter Guess? Enter OR solve by hand

6. Use the graphing calculator to find a Linear Regression Equation that models this data, rounding to the nearest hundredth. Then find the correlation coefficient and determine the type and strength of the relationship between year and average number of students. Let x = 3 represent the school year 1983-1984. Strong Negative Now, use the full equation to estimate the year in which students should have no longer had to share (i.e. 1 student per computer). Does this prediction seem reliable? 1995, NO