Create scatterplots using the data in the spreadsheet linked above and display the equation for the regression line. What is the equation for the regression line that predicts home equity using credit score as the explanatory variable? Y^=x+() What is the interpretation of the slope? What is the interpretation of the intercept? data from spreadsheet Credit score Home equity 709 7,075 699 28,133 720 15,006 711 3,063 706 22,033 733 64,526 701 24,155 723 30,181 727 47,226 705 19,661 727 43,211 725 52,811 717 19,872 715 99,246 723 156,178 724 101,346 714 89,711 712 67,690 713 31,142 713 98,423 726 63,359 680 -7,002 683 117 701 50,773 694 49,677 682 18,414 692 21,915 677 -4,251 704 37,980 667 8,093 694 27,380 682 -9,411 681 10,641 690 13,720 680 21,976 709 21,803 687 -11,464 707 102,833 696 54,641 708 186,909 718 122,187 723 273,037 711 103,007 720 61,389 686 64,988 686 36,129 718 125,003 716 134,887 723 130,119 712 50,686

Create scatterplots using the data in the spreadsheet linked above and display the equation for the regression line. What is the equation for the regression line that predicts home equity using credit score as the explanatory variable? Y^=x+() What is the interpretation of the slope? What is the interpretation of the intercept? data from spreadsheet Credit score Home equity 709 7,075 699 28,133 720 15,006 711 3,063 706 22,033 733 64,526 701 24,155 723 30,181 727 47,226 705 19,661 727 43,211 725 52,811 717 19,872 715 99,246 723 156,178 724 101,346 714 89,711 712 67,690 713 31,142 713 98,423 726 63,359 680 -7,002 683 117 701 50,773 694 49,677 682 18,414 692 21,915 677 -4,251 704 37,980 667 8,093 694 27,380 682 -9,411 681 10,641 690 13,720 680 21,976 709 21,803 687 -11,464 707 102,833 696 54,641 708 186,909 718 122,187 723 273,037 711 103,007 720 61,389 686 64,988 686 36,129 718 125,003 716 134,887 723 130,119 712 50,686

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 9SGR

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Find the mean hourly cost when the cell phone described above is used for 240 minutes.
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What is the equation for the regression line that predicts home equity using credit score as the explanatory variable?
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Create scatterplots using the data in the spreadsheet linked above and display the equation for the regression line. What is the equation for the regression line that predicts mortgage amount using household income as the explanatory variable? Y^=x+() What is the interpretation of the slope? What is the interpretation of the intercept? here is the data from excel Household income Mortgage amount 64,609 176,425 58,873 120,567 63,481 131,494 57,872 138,437 57,700 132,467 71,920 175,374 56,885 139,545 59,619 139,719 59,886 162,774 59,768 122,939 56,894 151,489 63,451 138,789 72,780 224,928 51,664 138,554 73,227 251,922 74,801 179,054 72,997 239,289 62,447 237,610 63,173 145,358 66,390 185,777 63,805 147,241 51,113 141,302 48,829 129,383 62,318 185,527 53,681 188,223 57,016 175,086 51,348 126,485 43,903 151,851 81,084 252,520 43,441 122,107 50,343 162,520…

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Credit score	Home equity
709	7,075
699	28,133
720	15,006
711	3,063
706	22,033
733	64,526
701	24,155
723	30,181
727	47,226
705	19,661
727	43,211
725	52,811
717	19,872
715	99,246
723	156,178
724	101,346
714	89,711
712	67,690
713	31,142
713	98,423
726	63,359
680	-7,002
683	117
701	50,773
694	49,677
682	18,414
692	21,915
677	-4,251
704	37,980
667	8,093
694	27,380
682	-9,411
681	10,641
690	13,720
680	21,976
709	21,803
687	-11,464
707	102,833
696	54,641
708	186,909
718	122,187
723	273,037
711	103,007
720	61,389
686	64,988
686	36,129
718	125,003
716	134,887
723	130,119
712	50,686