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 $4.02 per slice? Use a significance level of 0.05. Year Pizza Cost 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.148 0.347 1.000 1.246 1.747 1.997 2.253 2.299 2.752 3.000 Subway Fare 0.149 0.351 1.003 1.347 1.504 1.998 2.254 2.552 2.746 2.748 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 CPI The regression equation is ŷ=+x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.)
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 $4.02 per slice? Use a significance level of 0.05. Year Pizza Cost 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.148 0.347 1.000 1.246 1.747 1.997 2.253 2.299 2.752 3.000 Subway Fare 0.149 0.351 1.003 1.347 1.504 1.998 2.254 2.552 2.746 2.748 29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2 CPI The regression equation is ŷ=+x. (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.)
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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Transcribed Image Text: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 $4.02 per slice? Use a significance level of 0.05.
Year
Pizza Cost
1960 1973 1986 1995 2002 2003 2009 2013 2015 2019
0.148 0.347 1.000 1.246 1.747 1.997 2.253 2.299 2.752 3.000
Subway Fare 0.149 0.351 1.003 1.347 1.504 1.998 2.254 2.552 2.746 2.748
29.6 44.4 109.6 152.4 180.0 184.0 214.5 233.0 237.0 252.2
CPI
The regression equation is ŷ=+x.
(Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed.)
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