Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $4.06 per slice? Year 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 Pizza Cost Subway Fare 0.154 0.346 1.001 1.349 1.504 2.003 2.247 2.551 2.751 2.750 0.151 0.348 O.999 1.250 1.748 1.997 2.248 2.298 2.752 3.003 CPI 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 The regression equation is ý =+ ()x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.)

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FA21-MATH-155-Peabody-All Sections
Danielle Lemery : 12/06/21 11:31 AM
Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per
slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $4.06 per slice?
1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 e
0.151 0
Year
Pizza Cost
Subway Fare 0.154 0.346 1.001 1.349 1.504 2.003 2.247 2.551 2.751 2.750
CPI
0.99
1.250 1.748 1.99
2.248 2.298 2.752 3.003
29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2
The regression equation is y + ()x.
(Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.)
Transcribed Image Text:11:31 AA mathxl.com FA21-MATH-155-Peabody-All Sections Danielle Lemery : 12/06/21 11:31 AM Use the pizza cost and the subway fare in the table below to find the regression equation, letting pizza cost be the predictor (x) variable. (Pizza cost is in dollars per slice, subway fare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $4.06 per slice? 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 e 0.151 0 Year Pizza Cost Subway Fare 0.154 0.346 1.001 1.349 1.504 2.003 2.247 2.551 2.751 2.750 CPI 0.99 1.250 1.748 1.99 2.248 2.298 2.752 3.003 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 The regression equation is y + ()x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.)
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