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**Cover 1.4 if time; non-Algebra 2 objective**

Teaching note Cover 1.4 if time; non-Algebra 2 objective Gasaway going over briefly: get students to narrow down, positive verse negative correlation just by appearance and how to do on calculator

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Bell Ringer Find each slope: 1. (5, –1), (0, –3) 2. (8, 5), (–8, 7)

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1.4 Objectives Fit scatter plot data using linear models with and without technology. Use linear models to make predictions. A line of best fit may also be referred to as a trend line.

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**Four Kinds of Correlations (you will learn about in Transition)**

Positive Correlation Negative Correlation No Correlation Constant Correlation

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**Teaching note: **Practice how to use calculator with following slide**

** make sure all steps are included for students **Need uncooked spaghetti for this unit (optional). Be patient, allow students time to copy question and data. Offer students graph paper

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**Scatter Plots + Calculator**

1) STAT #1 L1 (x) , L2 (y) (enter data; use arrow keys to select column) STAT CALC 4enter LinReg(ax+b) 2nd 8) y= plot1 on TYPE X list L1 & Y list L2 mark (select on) GRAPH

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**Example 1 How to: Calculator data entry**

That’s to much work with paper & pencil Albany and Sydney are about the same distance from the equator. (a)Make a scatter plot with Albany’s temperature as the independent variable. (b)Name the type of correlation. (c)Then sketch a line of best fit and (d)find its equation. Tables: ACT How to: Calculator data entry Enter ______ in list L1 by pressing STAT and then 1. Enter _______ in list L2 by pressing Make scatter plot in the following way: Press 2nd Y= PLOT 1 set up desired type when done, press GRAPH cont inued

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**Does yours look like this ? example 1 continued**

Albany and Sydney are about the same distance from the equator. (a)Make a scatter plot with Albany’s temperature as the independent variable. (b)Name the type of correlation. (c)Then sketch a line of best fit and (d)find its equation. (hint: what is m? b?) o • • • • • • • • • • •

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Example 2 (a)Make a scatter plot for this set of data. (b)Identify the correlation (c)sketch a line of best fit (d)find its equation.

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**Teaching note: following slide**

Do not advance to next slide until students have had time to finish previous slide

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**• • • • • • • • • • example 2 continued Step 1 Plot the data points.**

Step 2 Identify the correlation. Notice that the data set is positively correlated–as time increases, more points are scored • • • • • • • • • •

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**• • • • • • • • • • example 2 continued**

Step 3 Sketch a line of best fit. Draw a line that splits the data evenly above and below. • • • • Step 4 Identify the equation for the data. • • • • • • end

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**Example 3: Anthropology Application**

Anthropologists can use the femur, or thighbone, to estimate the height of a human being. The table shows the results of a randomly selected sample. (a)Make a scatter plot for this set of data. (b)Identify the correlation (c)sketch a line of best fit (d)find its equation.

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**• • • • • • • • example 3 continued**

a. Make a scatter plot of the data with femur length as the independent variable. • • • • • • • •

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Example 3 Continued b. Find the correlation coefficient r and the line of best fit. Interpret the slope of the line of best fit in the context of the problem. Enter the data into lists L1 and L2 on a graphing calculator. Use the linear regression feature by pressing STAT, choosing CALC, and selecting 4:LinReg. The equation of the line of best fit is h ≈ 2.91l

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**What does the slope indicate about problem?**

Example 3 Continued What does the slope indicate about problem?

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**c. A man’s femur is 41 cm long. Predict the man’s height.**

Example 3 Continued c. A man’s femur is 41 cm long. Predict the man’s height. The equation of the line of best fit is h ≈ 2.91l Use the equation to predict the man’s height. For a 41-cm-long femur, h ≈ 2.91(41) Substitute 41 for l. h ≈ The height of a man with a 41-cm-long femur would be about 173 cm. end

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**• • • • • • • • • • Example 4 The gas mileage for**

randomly selected cars based upon engine horsepower is given in the table. • • • • • • • • • • a. Make a scatter plot of the data with horsepower as the independent variable.

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Example 4 Continued b. Find the correlation coefficient r and the line of best fit. Interpret the slope of the line of best fit in the context of the problem. Enter the data into lists L1 and L2 on a graphing calculator. Use the linear regression feature by pressing STAT, choosing CALC, and selecting 4:LinReg. The equation of the line of best fit is y ≈ –0.15x

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**What does the slope indicate ?**

Example 4 Continued What does the slope indicate ? The slope is about –0.15, so for each 1 unit increase in horsepower, gas mileage drops ≈ 0.15 mi/gal. c. Predict the gas mileage for a 210-horsepower engine. The equation of the line of best fit is y ≈ –0.15x Use the equation to predict the gas mileage. For a 210-horsepower engine, y ≈ –0.15(210) Substitute 210 for x. y ≈ 16 The mileage for a 210-horsepower engine would be about 16.0 mi/gal. end

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Teaching note: Exit Question long

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**Exit Question: complete on graph paper attached to Exit Question sheet**

(a)Make a scatter plot for this set of data using your calculator (b)find its equation.

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© Boardworks 2012 1 of 16 Measuring correlation. © Boardworks 2012 2 of 16 Information.

© Boardworks 2012 1 of 16 Measuring correlation. © Boardworks 2012 2 of 16 Information.

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