X Fridley Algebra II A - Edgenuity.c x+earn.edgenuity.com/Player/Understanding a Correlation Coefficient2000DataEach data pair shown is of the form below:(years since purchase, value of car)2800031000X1X 2X 329373Based on the correlation coefficient, there is a(n)240002681022375linear correlation between thedata.X 41729020000DONE VX514970X61145316000X71092112000Linear Regressiony= -3223.31x + 31805.583; r=-0.988-0.7000 sxs7.7Resize windowto fit data.Window:8913.1 sys 33007.9

The correlation coefficient is -0.988.

Answered: Each data pair shown is of the form…

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 1CYU

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Noise and Intelligibility Audiologists study the intelligibility of spoken sentences under different noise levels. Intelligibility, the MRT score, is measured as the percent of a spoken sentence that the listener can decipher at a cesl4ain noise level in decibels (dB). The table shows the results of one such test. (a) Make a scatter plot of the data. (b) Find and graph the regression line. (c) Find the correlation coefficient. Is a linear model appropriate? (d) Use the linear model in put (b) to estimate the intelligibility of a sentence at a 94-dB noise level.
Making Ice Our ice machine is making ice in preparation for the game that starts at 7:00 p.m. The machine is monitored, and the amount of ice is recorded at the end of each hour. The results are in the table below. Time 12:00 p.m. 1:00 p.m. 2:00 p.m. 3:00 p.m. Pounds of ice 200 273 346 419 a. Show that the data are linear. b. Let t denote the time in hours since noon, and let I denote the pounds of ice made. Find a linear model for I as a function of t. c. If 675 pounds of ice will be needed for the game tonight, will the ice machine produce enough ice by game time?
Graphing Discrete Data Plot the data from the table in Exercise S-2. S-2. Testing Data for Linearity Test the following data to see whether they are linear. x 2 4 6 8 y 12 17 21 25

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Each data pair shown is of the form below: (years since purchase, value of car) Based on the correlation coefficient, there is a(n) linear correlation between the data.