K 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 $3.99 per slice? Year Pizza Cost Subway Fare CPI 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.154 0347 0.998 1.250 1.754 2.000 2.250 2303 2.754 2.997 0.153 0352 0.999 1.351 1.502 2002 2.250 2.551 2.747 2.746 29.6 44.4 109.6 1524 180.0 1840 2145 2330 237.0 2522 The regression equation is yx (Round the y-intercept to four decimal places as needed. Round the slope to three decimal places as needed)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 14PPS
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K
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,
subwayfare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.99 per slice?
Year
Pizza Cost
Subway Fare
CPI
1960 1973 1986 1995 2002 2003 2009 2013 2015 2019
0.154 0.347 0.998 1.250 1.754 2.000 2.250 2.303 2.754 2.997
0.153 0.352 0.999 1.351 1.502 2.002 2.250 2.551 2.747 2.746
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:K 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, subwayfare and CPI are in dollars.) What is the best predicted subway fare when pizza costs $3.99 per slice? Year Pizza Cost Subway Fare CPI 1960 1973 1986 1995 2002 2003 2009 2013 2015 2019 0.154 0.347 0.998 1.250 1.754 2.000 2.250 2.303 2.754 2.997 0.153 0.352 0.999 1.351 1.502 2.002 2.250 2.551 2.747 2.746 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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