HI EXPERTS PLEASE HELP WITH STEP-BY-STEP SOLUTION SO I CAN LEARN, THANK YOU.

see below the dataset and question.

DATA SET:

STEM	GPA	SAT	White	Female	Asian	Type			KEY
0	3.70	1420	0	0	1	Asian Male
0	4.40	1240	0	1	1	Asian Female		STEM	1	Applied to STEM	0	Did not
1	2.90	1450	0	0	0	Other male			white	1	Yes		0	no
1	2.90	1520	0	1	0	Other Female		Female	1	Yes		0	no
1	4.00	1530	0	1	0	Other Female		Asian	1	Yes		0	no
1	3.20	1500	1	1	0	White Female
1	4.20	1490	0	1	1	Asian Female
0	3.50	1140	0	1	0	Other Female
0	2.90	1390	1	1	0	White Female
0	4.30	1100	1	0	0	White Male
0	4.00	1380	1	1	0	White Female
0	4.30	1200	0	0	1	Asian Male
1	3.80	1600	0	1	0	Other Female
0	3.20	1070	0	0	1	Asian Male
0	4.10	1070	1	1	0	White Female
1	3.40	1450	1	1	0	White Female
0	3.20	1320	0	1	0	Other Female
0	4.10	1350	0	0	0	Other Male
0	4.10	1140	0	0	0	Other Male
1	3.70	1370	0	1	1	Asian Female
0	3.60	1050	1	0	0	White Male
0	4.20	1290	0	0	0	Other Male
1	4.30	1590	0	1	0	Other Female
0	4.30	1370	1	0	0	White Male
1	3.80	1430	0	0	0	Other Male
1	3.20	1480	0	0	0	Other Male
0	4.00	1210	0	0	1	Asian Male
0	4.30	1310	0	1	0	Other Female
0	2.80	1240	0	0	0	Other Male
1	4.40	1390	0	0	0	Other Male
1	3.30	1560	1	0	0	White Male
0	2.80	1350	0	1	0	Other Female
1	3.00	1540	0	1	0	Other Female
0	2.50	1110	0	0	0	Other Male
1	2.70	1350	0	1	0	Other Female
1	4.00	1340	0	0	0	Other Male
1	2.50	1450	1	0	0	White Male
1	2.60	1460	0	0	0	Other Male
1	4.50	1350	0	0	1	Asian Male
0	3.70	1140	1	0	0	White Male
0	3.70	1290	1	1	0	White Female
0	2.70	1030	1	0	0	White Male
1	2.90	1570	1	1	0	White Female
0	4.30	1180	0	0	0	Other Male
0	4.20	1100	0	0	0	Other Male
0	3.60	1140	0	0	0	Other Male
1	3.70	1490	0	0	1	Asian Male
1	3.10	1360	1	0	0	White Male
0	3.70	1060	1	1	0	White Female
0	3.10	1100	0	0	1	Asian Male
0	4.10	1100	1	1	0	White Female
0	2.60	1370	1	1	0	White Female
0	4.10	1240	0	1	1	Asian Female
0	3.50	1060	1	0	0	White Male
0	3.80	1180	1	1	0	White Female
1	3.80	1460	1	1	0	White Female
1	3.30	1350	0	1	1	Asian Female
1	3.80	1400	0	0	0	Other Male
1	2.70	1530	0	0	1	Asian Male
0	4.20	1110	1	0	0	White Male
0	3.10	1170	0	0	1	Asian Male
0	4.10	1070	1	1	0	White Female
0	3.20	1170	0	0	0	Other Male
0	3.30	1340	0	0	0	Other Male
0	4.40	1030	1	1	0	White Female
0	2.80	1320	0	0	0	Other Male
1	2.90	1340	1	0	0	white Male
1	2.70	1520	0	1	0	Other Female
1	3.90	1440	0	1	1	Asian Female
0	3.90	1180	1	1	0	White Female
0	3.70	1440	1	1	0	White Female
0	3.40	1190	1	1	0	White Female
1	3.20	1380	1	0	0	White Male
0	2.80	1430	0	1	0	Other Female
1	3.80	1270	1	0	0	White Male
0	3.60	1210	1	0	0	White Male
1	4.40	1470	0	1	0	Other Female
1	2.90	1560	1	1	0	White Female
1	4.50	1500	0	0	0	Other Male
1	3.80	1380	0	0	1	Asian Male
0	2.60	1020	0	1	0	Other Female
0	4.40	1460	1	1	0	White Female
1	3.30	1550	1	1	0	White Female
1	4.00	1400	0	1	1	Asian Female
0	2.60	1200	0	0	0	Other Male
1	4.10	1190	1	0	0	White Male
1	2.80	1410	1	0	0	White Male
0	4.50	1190	1	1	0	White Female
0	2.80	1010	0	1	0	Other Female
0	3.00	1030	0	0	1	Asian Male
0	3.30	1080	1	0	0	White Male
1	3.80	1520	0	0	0	Other Male
0	4.50	1380	1	1	0	White Female
0	3.90	1030	0	1	1	Asian Female
0	3.60	1240	0	1	1	Asian Female
1	3.60	1200	0	0	1	Asian Male
1	4.00	1320	0	1	0	Other Female
0	4.30	1300	0	1	0	Other Female
0	3.90	1070	0	1	0	Other Female
1	3.30	1430	0	1	1	Asian Female
1	4.40	1400	0	0	1	Asian Male
0	2.70	1420	1	1	0	White Female
1	3.30	1310	1	1	0	White Female
1	3.90	1450	1	1	0	White Female
1	2.70	1470	0	0	0	Other Male
1	3.40	1560	0	0	0	Other Male
1	4.20	1550	0	0	0	Other Male
1	3.70	1350	0	0	0	Other Male
0	2.60	1240	0	0	1	Asian Male
0	2.90	1170	0	1	1	Asian Female
1	2.60	1370	0	0	0	Other Male
1	3.00	1470	0	1	0	Other Female
0	3.80	1030	1	1	0	White Female
1	3.10	1600	0	1	0	Other Female
0	4.00	1170	0	1	1	Asian Female
0	4.10	1070	0	0	0	Other Male
1	4.30	1420	0	0	0	Other Male
0	3.90	1080	1	1	0	White Female
0	3.80	1250	0	0	1	Asian Male
0	3.80	1030	0	0	0	Other Male
1	3.70	1210	0	0	1	Asian Male
0	4.30	1340	0	1	0	Other Female
0	3.60	1340	0	1	0	Other Female
0	4.40	1190	0	0	0	Other Male
0	2.80	1120	1	1	0	White Female
0	2.70	1250	1	0	0	White Male
0	4.30	1040	0	0	1	Asian Male
0	3.30	1370	1	1	0	White Female
1	4.40	1550	1	1	0	White Female
1	3.20	1470	0	0	1	Asian Male
1	2.70	1560	1	1	0	White Female
0	3.00	1230	0	1	0	Other Female
1	3.60	1510	0	1	0	Other Female
0	4.50	1070	0	1	1	Asian Female
1	3.70	1460	0	1	0	Other Female
0	3.50	1190	0	1	1	Asian Female
1	3.00	1240	1	0	0	White Male
1	3.90	1390	0	1	0	Other Female
1	3.50	1570	0	0	0	Other Male
1	3.10	1510	0	1	1	Asian Female
0	3.00	1260	0	0	1	Asian Male
1	4.20	1440	0	0	1	Asian Male
1	2.60	1430	1	0	0	White Male
0	3.60	1040	0	1	0	Other Female
0	3.40	1040	1	1	0	White Female
0	3.50	1080	0	1	1	Asian Female
0	3.00	1240	0	1	1	Asian Female
0	3.60	1350	1	0	0	White Male
1	3.60	1450	0	0	1	Asian Male
0	2.90	1240	0	1	0	Other Female
0	4.30	1230	0	0	0	Other Male
0	3.90	1150	0	1	0	Other Female
1	3.20	1370	1	1	0	White Female
1	3.70	1570	0	0	1	Asian Male
0	3.30	1250	0	0	0	Other Male
0	3.20	1020	0	0	0	Other Male
1	3.40	1390	0	1	0	Other Female
1	3.70	1380	0	0	1	Asian Male
0	3.40	1060	0	0	0	Other Male
0	4.30	1070	0	0	1	Asian Male
1	2.60	1550	1	1	0	White Female
1	3.10	1430	1	0	0	White Male
0	2.90	1030	1	1	0	White Female
0	3.10	1210	0	0	0	Other Male
0	3.40	1010	1	1	0	White Female
1	2.50	1380	1	0	0	White Male
1	2.70	1540	1	1	0	White Male
0	3.50	1190	0	0	0	Other Male
0	4.40	1340	0	1	0	Other Female
1	3.70	1530	0	1	1	Asian Female
0	2.60	1000	0	0	0	Other Male
1	4.30	1480	1	0	0	White Male
1	3.60	1200	1	0	0	White Male
0	4.00	1080	0	0	0	Other Male
1	3.00	1450	1	0	0	White Male
0	3.20	1280	0	1	0	Other Female
0	4.10	1100	0	0	0	Other Male
0	3.50	1050	0	0	0	Other Male
1	3.80	1430	1	0	0	White Male
1	3.90	1580	0	0	0	Other Male
0	3.50	1110	0	1	1	Asian Female
1	2.70	1520	0	1	0	Other Female
0	3.10	1020	0	1	1	Asian Female
1	4.40	1450	1	0	0	White Male
0	3.60	1310	0	1	0	Other Female
0	3.20	1050	0	1	0	Other Female
1	3.60	1490	1	0	0	White Male
0	2.60	1160	0	0	0	Other Male
0	4.10	1400	0	1	0	Other Female
0	3.30	1290	0	1	1	Asian Female
0	2.90	1250	1	1	0	White Female
1	4.10	1370	0	0	1	Asian Male
1	3.90	1330	0	0	1	Asian Male
0	2.80	1170	1	1	0	White Female
1	3.00	1520	1	0	0	White Male
0	3.80	1240	1	0	0	White Male
0	3.10	1220	1	1	0	White Female
0	3.90	1100	1	0	0	White Male
1	2.90	1550	1	1	0	White Female
0	4.50	1360	0	0	0	Other Male
0	4.40	1090	0	1	1	Asian Female
1	2.50	1520	1	0	0	White Male
0	4.10	1200	0	1	1	Asian Female
1	2.90	1490	1	0	0	White Male
0	4.30	1260	1	1	0	White Female
1	4.50	1430	0	0	0	Other Male
0	4.40	1250	0	0	0	Other Male
1	2.80	1590	1	0	0	White Male
1	3.10	1410	0	0	1	Asian Male
1	4.00	1230	1	0	0	White Male
0	2.50	1010	1	1	0	White Female
0	2.60	1240	0	1	0	Other Female
0	4.10	1120	0	1	0	Other Female
0	2.70	1100	0	0	1	Asian Male
0	4.00	1240	0	0	1	Asian Male
0	3.60	1510	0	1	0	Other Female
0	2.70	1290	0	1	0	Other Female
1	3.40	1580	0	1	0	Other Female
1	3.60	1410	0	0	1	Asian Male
0	2.70	1050	0	1	1	Asian Female
1	4.00	1480	0	1	1	Asian Female
0	4.40	1090	0	0	0	Other Male
1	3.20	1590	0	0	1	Asian Male
1	2.80	1530	1	1	0	White Female
1	4.20	1570	1	1	0	White Female
0	2.60	1050	0	1	0	Other Female
0	3.80	1030	1	0	0	White Male
1	3.60	1330	0	0	1	Asian Male
1	2.50	1330	1	0	0	White Male
0	3.30	1350	1	1	0	White Female
1	2.50	1220	0	0	1	Asian Male
0	3.70	1270	0	1	1	Asian Female
1	4.10	1390	0	0	0	Other Male
1	2.60	1560	0	1	1	Asian Female
0	4.30	1020	0	0	0	Other Male
0	4.40	1050	0	0	1	Asian Male
0	2.90	1050	1	0	0	White Male
0	2.50	1050	1	1	0	White Female
0	3.90	1300	0	1	1	Asian Female
0	3.80	1390	0	1	0	Other Female

QUESTION:

Q4	For the STEM Data data, you want to anayze if you can use the GPA and race to predict the SAT score.
		Develop a simple regression model to predict SAT score suing the GPA as a predictor variable.
		Test all the regression assumptions.
		Can this model be used for prediction purposes?
		Put the regression output below and explain the results.