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Today’s Objectives:

Today’s Objectives:. Get out your Guess My Age WS ! You will be able to draw a line of regression. You will be able use the least-squares method for finding the regression line. Warm Up. What is the explanatory variable? What is the response variable?

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Today’s Objectives:

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  1. Today’s Objectives: Get out your Guess My Age WS! You will be able to draw a line of regression. You will be able use the least-squares method for finding the regression line.

  2. Warm Up What is the explanatory variable? What is the response variable? Make a scatterplot using your calculator that displays the relationship. Describe the direction, form, and strength of the relationship. Find the correlation coefficient, r. What do you conclude about when babies learn to crawl?

  3. Vitruvius and the Ideal Man Split up into groups of 2-3 people. Turn to pg. 168 We will be working through Activity 4.2 as a class ***#6—only find

  4. Vitruvius and the Ideal Man Height Arm Name (inches) (inches) Height Arm Name (inches) (inches)

  5. Regression Lines Correlation shows the relationship between two quantitative variables. A regression line is a summary of a straight line relationship between those two variables. It describes how the response variable changes as the explanatory variable changes.

  6. Body weight vs. Backpack weight Turn to pg. 159 Use your calculator to make a scatterplot of this data. Describe the direction, form, and strength of the relationship between these variables.

  7. Body Weight vs. Backpack Weight The figure below is the same scatterplot with a regression line added. This line allows us to summarize the overall pattern.

  8. Body Weight vs. Backpack Weight Suppose that a last minute hiker is assigned to the group. He weighs 150 lbs. Can we predict his backpack weight?

  9. Energy vs. Temperature This scatterplot compares average monthly temperature and average amount of gas consumed per day.

  10. Comparisons What does correlation have to do with the accuracy of a prediction?

  11. How Do You Find a Regression Equation? The most common way to find a regression equation is using the least-squares method. The idea behind this method is that a line makes the sum of the squares of the vertical distances of the data points from the line as small as possible.

  12. Least-Squares Regression

  13. Least-Squares Regression Using the formula for finding the least-squares regression is the calculator’s job. The equation of a line is _______________ In statistics it is written as ______________

  14. Least-Squares Regression : :

  15. Using Least-Squares To use the equation for prediction, just substitute your -value into the equation and calculate the resulting -value.

  16. Body Weight vs. Backpack Weight You should already have the chart on pg. 159 in your calculator. If not go there now and enter that information into your L1 and L2. Make a scatterplot. Now we will use our calculators to draw a regression line.

  17. Calculator Hints STAT arrow right to CALC choose 8:LineReg(a+bx) (***notice how similar 4: and 8: are) Type L1 comma L2 comma Y1 (to find Y1 press VARSY-VARS1:Y1ENTER) Then hit ENTER You should see this… GRAPH 16.26492733 .0907994319 .6315364361 .7946926677

  18. Body Weight vs. Backpack Weight Previously we had estimated that a boy weighing 150 pounds would carry a pack of about 30 pounds. Lets find out if our prediction holds. Press TRACE arrow down (to switch from the scatterplot to the regression line—You will see the equation at the top of the screen) Just type 150 and hit ENTER

  19. Body Weight vs. Backpack Weight What is the slope of the line? Explain what this value means in this setting. (turn to pg. 172 if you have no idea) What is the y intercept? Explain what this value means in the setting.

  20. Let’s Try Another One Hit y= and delete the equation Clear your L1 and L2 Turn to pg. 152 and enter the data.

  21. Let’s Try Another One Calculate the least-squares regression line equation. Graph the regression line on the scatterplot. Use the regression line to make a prediction. Let’s predict the amount of natural gas Joan will use in a month with an average temperature of 30.

  22. Natural Gas vs. Temperature What is the slope of the line? Explain what this value means in this setting. (turn to pg. 172 if you have no idea) What is the y intercept? Explain what this value means in the setting.

  23. Correlation and Regression Correlation and regression are closely connected, even though regression requires choosing an explanatory variable and correlation does not. Turn to pg. 177 and look at the bold headings

  24. Ticket Out The Door On a 3x5 card please write you name and answer the following… 3 - things you learned today 2 - questions you still have 1- summarize the lesson in ONE sentence

  25. Homework Pg. 173 #’s 4.28, 4.29, and 4.32

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