e:12. Use a ruler to help you estimate the slope for a line that best approximates the data in the scatterplot.1218+16+14+12+10+ 178-422.4689710robni si10 12 14 16 18ID: AX

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Answered: Use a ruler to help you estimate the…

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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Make a scatter plot of the data and determine which type of model best fits the data. (-3,-1), (-2,0), (-1,1), (0,2), (1,3), (2,4)
The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 25 different months. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 25 °F. Note that you can use the graphing tools to help you approximate the line. 100- y 90- x 80- × × xx 70- Monthly x x heating cost 60- × (in dollars) 50- × 40- 30- 20- 10- × x x x x x 0 10 20 30 40 50 60 70 80 90 100 Average monthly temperature (in °F) (a) Write an approximate equation of the line of best fit. y = (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 25 °F. $ ☐ G
The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 25 different months. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. Note that you can use the graphing tools to help you approximate the line. y 100- 90+ 80+ ? 70+ Monthly heating cost (in dollars) 60+ 50+ 40+ 30- 20+ 10+ X + 0 10 20 30 40 50 60 70 80 90 100 Average monthly temperature (in °F) X X X X X X x X xx X X X X X xx X X X X X A X Ś (a) Write an approximate equation of the line of best fit. y = 0 (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. $0 X Ś ?
a and b please

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Use a ruler to help you estimate the slope for a line that best approximates the data in the scatter plot.