2. Scatter Plots The accompanying table shows the number of applications for admissions that a college received for certain years. Create a scatter plot that models this data. Year # of Applications 1991297 1993331 1995409 1996482 1999647 2000615 That was easy College Applications # of Applications Year 700 600 500 400 300 200 100 0 1991 1993 1995 1996 1999 2000

3. Scatter Plots on a Graphing Calculator Lets take another look at that chart. Year # of Applications 1991297 1993331 1995409 1996482 1999647 2000615 Let x = 1 represent 1991, x = 3 represent 1993 and so on so that x = 10 represents 2000. Store the data Press STATENTER Enter x values in L1 and corresponding y values in L2. Set up the Scatter Plot Press 2ndSTAT PLOTENTER Display the Scatter Plot Press ZOOM9 Or press GRAPH That was easy

4. Comparing Correlation Coefficients and Trends in Scatter Plots As x increases, y increases. The closer r is to 1, the better a line fits the data and the stronger the linear relationship is. There is no significant linear relationship between x and y. The closer r is to 0, the weaker the linear relationship is. As x increases, y decreases. The closer r is to -1, the better a line fits the data and the stronger the linear relationship is. Positive Correlation Negative Correlation No Correlation

5. Another Scatter Plot Make a scatter plot using the given data and describe the relationship. Altitude and Temperature Altitude 1000 2000 3000 4000 5000 Temperature 60 50 40 30 20 10 0 The data has a negative correlation.

6. Homework Page 341: 7 – 10 Draw scatter plots and describe the relationship