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Math III Accelerated Chapter 11 Data Analysis and Statistics 1
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Warm Up 11.5 Find the value of y if x = 15. 2
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11.5 Modeling Two-Variable Data Objective: Create regression equations for data. 3
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Types of Functions We use different types of functions to model data. Given a set of ( x, y ) points, we will use the graphing calculator to create a modeling equation. 4 FunctionGeneral Form Linear y = ax + b Quadratic y = ax 2 + bx + c Cubic y = ax 3 + bx 2 + cx + d Exponential y = ab x Power y = ax b
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Example 1 The table shows the teacher’s salary y (in dollars) for x years of teaching experience. Write a linear regression equation to model this data. Enter data into L1 and L2. Select “4:LinReg” from the STAT CALC menu. Command: LinReg (ax + b) L1, L2 5 xy 130,624 232,436 334,167 435,989 537,684 639,311 741,098
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Create a Scatter Plot from ( x, y ) Data Enter data into L1 and L2. Select “4:LinReg” from the STAT CALC menu. Command: LinReg (ax + b) L1, L2, Y1 Use STAT PLOT to configure the graph. Set WINDOW based on data values. GRAPH. 6
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Checkpoint 1 Write a linear regression equation to model this data. 7 x 01234567 y 29192940516173
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Example 2 The table shows a deer population y counted x years after a hunting ban began. Write an exponential regression equation for this data. Enter data into L1 and L2. Select “0:ExpReg” from the STAT CALC menu. Command: ExpReg L1, L2 8 xy 0500 5729 101271 152206 203765
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Checkpoint 2 Write an exponential regression equation to model this data. 9 x 1234567 y 462318181107756255
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Example 3 The table shows the number of people y who rode a roller coaster x hours after an amusement park opened. Write a quadratic regression equation to model this data. Enter data into L1 and L2. Select “5:QuadReg” from the STAT CALC menu. Command: QuadReg L1, L2 10 xy 085 2163 4282 6341 8398 10381 12304
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Checkpoint 3 Write an quadratic regression equation to model this data. 11 x 024681012 y 100178273314349324289
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Homework 11.5 Practice 11.5 12
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