Chapter 12 Guide Problem

Objective: To understand how to use the estimated regression equation to predict the value of y.

Xi	1 2 3 4 5
Yi	3 7 5 11 14

1. Develop a scatter diagram for these data.
2. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
3. Try to approximate the relationship between x and y by drawing a straight line through the data.
4. Develop estimated regression equation by computing the values of b0 and b1 using equations.
5. Use the estimated regression equation to predict the value of y when x = 4.

Step 1a: Develop the scatter diagram.

Step 2b: After examining the scatterplot, it appears that there's a positive linear relationship between x and y.

Step 3C: The equation of a straight line "best" represents the relationship according to the least squares criteria.

Step 4D: There are several formulas that need to be computed to obtain the slope and the y-intercept. You may use Excel to gather these values.

Step 5E:Use the estimated regression equation to predict the value of y when x = 4.

Chapter 12 Guide Problem Objective: To understand how to use the estimated regression equation to predict the value of 3;. _L23 4 5 a. Develop a scatter diagram for these data. b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?I c. Try to approximate the relationship between x and 3r by drawing a straight hne through the data. d. Develop estimated regression equation by computing the values of hi} and bl using equations. e. Use the estimated regression equation to predict the value of 3r when x = 4. Step In: Develop the scatter diagram. 16 14 I 12 ll] SIM-FLUKE! Step 2.5: After examining the scatterplot, it appears that there's a positive linear relationship between K and 3'. Step 3C: The equation of a straight line \"best\" represents the relationship according to the least squares criteria