Making a Scatterplot Using the Graphing Calculator

Total Page:16

File Type:pdf, Size:1020Kb

Making a Scatterplot Using the Graphing Calculator

Scatterplots

Name Period #

Correlations:

Positive correlation Negative correlation NO correlation Making a Scatterplot Using the Graphing Calculator

Clear Lists 2nd + ClrAllLists Enter

Clear Stored Graphs Y =

press Clear for each equation

GRAPH THIS DATA: Average Math Year (x) Entering Data Stat 1 Edit Enter SAT score (y) 1997 460 Enter the data for horizontal axis in L1. 1998 490 1999 480 Enter the data for vertical axis in L2. 2000 500 2001 530 2002 520 2003 510 2004 515 2005 520 Creating Graph 2nd Y = Select Plot 1 Enter

ON Enter

TYPE, select the 1st icon hit Enter . X and Y lists should be L1 and L2

Zoom 9 – adjusts the window to appropriate values for the data.

Trace Allows you to identify individual data points.

Finding Line of Best Fit Stat CALC 4 : LinReg(ax+b) (Linear Regression)

Enter the L1 and L2 by Identify the data 2nd 1 , 2nd 2 Enter

Round a and b to the nearest HUNDREDTH!!!

y = ax + b where a is the ______and

b is the ______Scatterplots Practice Worksheet

Name Period #

1. Listed below are the math and science grades for each individual student in Mr. Mann’s Algebra 1 course. Enter the data into your calculators, construct a graph, and then answer the questions below.

Math 83 90 64 49 73 81 71 60 79 62 85 72 78 66 93 81 74 85 66 76 average Science 76 85 75 67 88 90 88 78 90 57 93 71 96 71 91 54 81 78 81 82 average

a. Write an equation for the line of best fit (linear regression line – Round a and b to the hundredth).

______

b. State the correlation. ______

c. Make a prediction of a science grade for a student who has a math grade of 80. ______Why is this a good prediction? ______

2. Listed below are the ages of 20 random people along with how many minutes per day that they exercise. Enter the data into your calculators, construct a graph, and then answer the questions below.

Age 23 30 65 49 43 50 28 31 19 22 35 42 20 56 18 46 31 38 60 40 Minute s per 65 50 11 19 24 22 52 48 80 57 40 26 60 25 90 20 47 33 10 30 Day

a. Write an equation for the line of best fit (linear regression line – Round a and b to the hundredth).

______

b. State the correlation. ______

c. Make a prediction of the age of a person who exercises 45 minutes per day. ______Why is this a good prediction? ______

3. Listed below are the batting averages (as a percent) and the number of homeruns for each member of the CR North baseball team. Enter the data into your calculators, construct a graph, and then answer the questions below.

Batting 300 225 232 343 189 400 350 249 560 319 212 287 302 315 average Homeruns 10 6 7 14 3 21 16 8 25 12 4 9 11 11

a. Write an equation for the line of best fit (linear regression line – Round a and b to the hundredth).

______

b. State the correlation. ______

c. Make a prediction of homeruns for a player who has a batting average of 375. ______Why is this a good prediction? ______

4. Listed below are the heights (in inches) of all of the players on the CR North basketball team and how many points they average per game. Enter the data into your calculators, construct a graph, and then answer the questions below.

Points per 8 22 4 10 2 11 0 9 10 28 Game Height 72 60 64 68 74 76 62 65 68 77

a. Write an equation for the line of best fit (linear regression line – Round a and b to the hundredth).

______

b. State the correlation. ______c. Make a prediction of the number of points per game for a player who is 63 inches tall. ______Why is this a good prediction? ______

Recommended publications