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Example 1 The following table shows the number of smog advisory days in Ontario between 1995 and 2006: Year 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 3 5 3 7 10 7 8 15 6 # of Smog 6 3 3 Advisories A) Independent variable: Variable: B) Equation of line of best fit in y = mx + b form (using Excel): Dependent C) Using your equation 1) How many smog advisories would you expect this year, in 2016? 2) In what year would you expect 20 smog advisory days? D) For each questions in part C, state whether you used INTERPOLATION or EXTRAPOLATION. E) Describe the correlation you see (weak/strong and positive/negative)

Example 1 The following table shows the number of smog advisory days in Ontario between 1995 and 2006: Year 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 3 5 3 7 10 7 8 15 6 # of Smog 6 3 3 Advisories A) Independent variable: Variable: B) Equation of line of best fit in y = mx + b form (using Excel): Dependent C) Using your equation 1) How many smog advisories would you expect this year, in 2016? 2) In what year would you expect 20 smog advisory days? D) For each questions in part C, state whether you used INTERPOLATION or EXTRAPOLATION. E) Describe the correlation you see (weak/strong and positive/negative)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Using Technology for Linear Regression Complete this handout on Excel or Google Sheets Recall: A line of best fit is also called a regression line Example 1 The following table shows the number of smog advisory days in Ontario between 1995 and 2006: Year 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 6 3 3 5 3 7 10 7 8 15 6 # of Smog Advisories A) Independent variable: Variable: B) Equation of line of best fit in y = mx + b form (using Excel): C) Using your equation 1) How many smog advisories would you expect this year, in 2016? 2) In what year would you expect 20 smog advisory days? Dependent D) For each questions in part C, state whether you used INTERPOLATION or EXTRAPOLATION. E) Describe the correlation you see (weak/strong and positive/negative) Example 2 The following table shows the tire pressure in cars (measured in psi) for specific air temperatures (°F): 58 79 63 61 85 55 74 88 Outside temperature Tire Pressure (psi) 35 38 36 36 39 34 37 40 A) Independent variable: Variable: B) Equation of line of best fit in y = mx + b form (using Excel): C) Using your equation 1) Predict the tire pressure at 70°F 2) Predict the tire pressure at 40°F Dependent D) For each questions in part C, state whether you used INTERPOLATION or EXTRAPOLATION. E) Describe the correlation you see (weak/strong and positive/negative)
Transcribed Image Text:Using Technology for Linear Regression Complete this handout on Excel or Google Sheets Recall: A line of best fit is also called a regression line Example 1 The following table shows the number of smog advisory days in Ontario between 1995 and 2006: Year 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 6 3 3 5 3 7 10 7 8 15 6 # of Smog Advisories A) Independent variable: Variable: B) Equation of line of best fit in y = mx + b form (using Excel): C) Using your equation 1) How many smog advisories would you expect this year, in 2016? 2) In what year would you expect 20 smog advisory days? Dependent D) For each questions in part C, state whether you used INTERPOLATION or EXTRAPOLATION. E) Describe the correlation you see (weak/strong and positive/negative) Example 2 The following table shows the tire pressure in cars (measured in psi) for specific air temperatures (°F): 58 79 63 61 85 55 74 88 Outside temperature Tire Pressure (psi) 35 38 36 36 39 34 37 40 A) Independent variable: Variable: B) Equation of line of best fit in y = mx + b form (using Excel): C) Using your equation 1) Predict the tire pressure at 70°F 2) Predict the tire pressure at 40°F Dependent D) For each questions in part C, state whether you used INTERPOLATION or EXTRAPOLATION. E) Describe the correlation you see (weak/strong and positive/negative)
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