Did I do these correctly? Number 6,7, and 8 Press [STATJceks on Market" into L1 and "Selling Price" into L2.Use arrows to go over to CALC menuThen use arrows to go down to 4: LinReg (ax+b)DependingThen press the [ENTER] keySeon which version you have you need to tell the calculator which lists your data is in.d by2. What is the value of the correlation coefficient? -O 70143. Correlation is an indicator of strength and direction. Does your interpretation of this correlation agreethe answer for strength and direction that you found by reading the graph on page 1? Explain.d isd.Selling pcice and weeks on maiketao hand in hand negativélyCorrelation OnidOఇంand has à modee colrelation iTheie is no outlieri4. Using your calculator output from LinReg (ax+b), to get the coefficients for the regression line.a = slope = -|.20%3Db=y-intercept =266.22%3D5. Write out the regression equation: Y= 126.22-1.20x6. Using the regression equation, predict the selling price (in thousands of $) for a cendo that has been onthe market for 35 weeks.Y=126,22-1.20 (35)ン 4.307. Using the regression equation, predict the selling price (in thousands of $) for a condo that has been onthe market for 10 weeks.Y=126.22-1,20610) = 114,228. Using the regression equation, predict the selling price (in thousands of $) for a condo that has been cthe market for 72 weeks.3982ソニは4.2-120(はる)

Given information- Given regression equation is- Y = 126.22 – 1.20 X Here, X = no. of weeks, Y =…

4. Using your calculator output from LinReg (ax+b), to get the coefficients for the regression line. a = slope = -1.20 b=y-intercept = 1266.22 %3D 5. Write out the regression equation: Y= 126.22-1.20x 6. Using the regression equation, predict the selling price (in thousands of $)for a cendo that has been on the market for 35 weeks. Y=126,22-11.20 (35) ン 84.33 7. Using the regression equation, predict the selling price (in thousands of $) for a condo that has been on. the market for 10 weeks. Y=124.22-1.20610) = 114.22 8. Using the regression equation, predict the selling price (in thousands of $) for a condo that has beenm the market for 72 weeks. Yと4.22 -10(7る):3933

4. Using your calculator output from LinReg (ax+b), to get the coefficients for the regression line. a = slope = -1.20 b=y-intercept = 1266.22 %3D 5. Write out the regression equation: Y= 126.22-1.20x 6. Using the regression equation, predict the selling price (in thousands of $)for a cendo that has been on the market for 35 weeks. Y=126,22-11.20 (35) ン 84.33 7. Using the regression equation, predict the selling price (in thousands of $) for a condo that has been on. the market for 10 weeks. Y=124.22-1.20610) = 114.22 8. Using the regression equation, predict the selling price (in thousands of $) for a condo that has beenm the market for 72 weeks. Yと4.22 -10(7る):3933

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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Question

Did I do these correctly? Number 6,7, and 8

Press [STATJ
ceks on Market" into L1 and "Selling Price" into L2.
Use arrows to go over to CALC menu
Then use arrows to go down to 4: LinReg (ax+b)
Depending
Then press the [ENTER] key
Se
on which version you have you need to tell the calculator which lists your data is in.
d by
2. What is the value of the correlation coefficient? -O 7014
3. Correlation is an indicator of strength and direction. Does your interpretation of this correlation agree
the answer for strength and direction that you found by reading the graph on page 1? Explain.
d is
d.
Selling pcice and weeks on maiket
ao hand in hand negativély
Correlation Onid
O
ఇం
and has à modee colrelation i
Theie is no outlieri
4. Using your calculator output from LinReg (ax+b), to get the coefficients for the regression line.
a = slope = -|.20
%3D
b=y-intercept =266.22
%3D
5. Write out the regression equation: Y= 126.22-1.20x
6. Using the regression equation, predict the selling price (in thousands of $) for a cendo that has been on
the market for 35 weeks.
Y=126,22-1.20 (35)
ン 4.30
7. Using the regression equation, predict the selling price (in thousands of $) for a condo that has been on
the market for 10 weeks.
Y=126.22-1,20610) = 114,22
8. Using the regression equation, predict the selling price (in thousands of $) for a condo that has been c
the market for 72 weeks.
3982
ソニは4.2-120(はる)

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