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Reference : https://docs.google.com/presentation/d/1xwVzUQ6YFOi1jhXhF89YX7_HiKBM7mU2/mobilepresent?slide=id.p1

A. The average family income and annual savings of nine B. The following table shows the temperature of the water (9) families are shown below. and the surrounding air on a random sample of days at the beach. Annual Income Annual Savings (in Php 10 000) (X) (in Php 10 000) (Y) Air Temperature (X) Water Temperature (Y) 36 83 67 39 89 IN 70 42 2 95 74 45 5 79 48 5 85 69. 51 6 92' 54 97 73 56 84. 56 59 1. Construct a scatter plot for the data shown in the table. 1. Construct a scatter plot for the data shown in the table. 2. Compute the PPMC Coefficient (r). (ENCIRCLE your r) 2. Compute the PPMC Coefficient (r). (ENCIRCLE your r) 3. Describe the relationship between the air temperature 3. Describe the relationship between the income and the and the water temperature based on the computed r. savings based on the computed r. 4. Test the significance of r at 0.05 level of significance. 4. Test the significance of r at 0.05 level of significance. 5. If r is significant, find the regression equation for 5. If r is significant, find the regression equation for predicting the water temperature in terms of the air predicting savings in terms of income. (ENCIRCLE your temperature. (ENCIRCLE your equation) equation) 6. Graph the regression line on the same coordinate 6. Graph the regression line on the same coordinate system where you draw the scatter plot. system where you draw the scatter plot. 7. Predict the water temperature if the air temperature is 7. Predict the annual savings if the annual income is Php 90 degrees. (ENCIRCLE your final answer) 580,000.00. (ENCIRCLE your final answer)