a Construct a scatter plot An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartment, as defined by square footage A sample of 25 apartments (stored in the file Rent) in a particular residential neighborhood was selected, and the information gathered revealed the following Size (Square feet) Rent ($) 524 1110 616 1175 666 1190 830 1410 450 1210 550 1225 780 1480 815 1490 1070 1495 610 1680 835 1810 660 1625 590 1469 675 1395 744 1150 820 1140 912 1220 628 1434 645 1519 840 1105 800 1130 804 1250 950 1449 800 1168 787 1224 960 1391 750 1145 690 1093 840 1353 850 1530 965 1650 1060 1740 665 1235 775 1550 960 1545 827 1583 655 1575 535 1310 625 1195 749 1200 634 1185 641 1444 860 1385 740 1275 593 1050 880 1650 895 1340 692 1560 a Construct a scatter plot b Use the least squares method to find the regression coefficients b0 and b1 c Interpret the meaning of b0 and b1 in this problem d Predict the monthly rent for an apartment that has 800 square feet e Why would it not be appropriate to use the model to predict the monthly rent for apartments that have 1,500 square feet f Your friends Jim and Jennifer are considering signing a lease for a one bedroom apartment in this residential neighborhood They are trying to decide between two apartments, one with 800 square feet for a monthly rent of $1,130 and the other with 830 square feet for a monthly rent of $1,410 Based on (a) through (d), which apartment do you think is a better deal PLEASEEE HELP ILL PAY AND REWARD MOST HELPFUL TO ANYBODY THAT TEACH ME THE STEPS AND ANSWER

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Question: a. Construct a scatter plot. An agent for a residential real estate company in a large city would like to be able to predict the

a. Construct a scatter plot.An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartment, as defined by square footage. A sample of 25 apartments (stored in the file Rent) in a particular residential neighborhood was selected, and the information gathered revealed the following:

Size (Square feet)	Rent ($)
524	1110
616	1175
666	1190
830	1410
450	1210
550	1225
780	1480
815	1490
1070	1495
610	1680
835	1810
660	1625
590	1469
675	1395
744	1150
820	1140
912	1220
628	1434
645	1519
840	1105
800	1130
804	1250
950	1449
800	1168
787	1224
960	1391
750	1145
690	1093
840	1353
850	1530
965	1650
1060	1740
665	1235
775	1550
960	1545
827	1583
655	1575
535	1310
625	1195
749	1200
634	1185
641	1444
860	1385
740	1275
593	1050
880	1650
895	1340
692	1560

a. Construct a scatter plot.

b. Use the least-squares method to find the regression coefficients b0 and b1.

c. Interpret the meaning of b0 and b1 in this problem.

d. Predict the monthly rent for an apartment that has 800 square feet.

e. Why would it not be appropriate to use the model to predict the monthly rent for apartments that have 1,500 square feet?

f. Your friends Jim and Jennifer are considering signing a lease for a one-bedroom apartment in this residential neighborhood. They are trying to decide between two apartments, one with 800 square feet for a monthly rent of $1,130 and the other with 830 square feet for a monthly rent of $1,410. Based on (a) through (d), which apartment do you think is a better deal?

PLEASEEE HELP ILL PAY AND REWARD MOST HELPFUL TO ANYBODY THAT TEACH ME THE STEPS AND ANSWER.

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